Spaces:
Paused
Paused
File size: 142,396 Bytes
56c7b6d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 1570 1571 1572 1573 1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 1584 1585 1586 1587 1588 1589 1590 1591 1592 1593 1594 1595 1596 1597 1598 1599 1600 1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 1612 1613 1614 1615 1616 1617 1618 1619 1620 1621 1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678 1679 1680 1681 1682 1683 1684 1685 1686 1687 1688 1689 1690 1691 1692 1693 1694 1695 1696 1697 1698 1699 1700 1701 1702 1703 1704 1705 1706 1707 1708 1709 1710 1711 1712 1713 1714 1715 1716 1717 1718 1719 1720 1721 1722 1723 1724 1725 1726 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 1739 1740 1741 1742 1743 1744 1745 1746 1747 1748 1749 1750 1751 1752 1753 1754 1755 1756 1757 1758 1759 1760 1761 1762 1763 1764 1765 1766 1767 1768 1769 1770 1771 1772 1773 | {
"cells": [
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "view-in-github"
},
"source": [
"<a href=\"https://colab.research.google.com/github/bwbayu/TalentMatch/blob/development/model/training/doc2vec_all_data.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "x3yQ3jKCGGeN",
"outputId": "0a2c13c2-195e-4c45-f758-585e16b0b20b"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: wordsegment in /usr/local/lib/python3.10/dist-packages (1.3.1)\n",
"Requirement already satisfied: num2words in /usr/local/lib/python3.10/dist-packages (0.5.13)\n",
"Requirement already satisfied: docopt>=0.6.2 in /usr/local/lib/python3.10/dist-packages (from num2words) (0.6.2)\n",
"Requirement already satisfied: deep-translator in /usr/local/lib/python3.10/dist-packages (1.11.4)\n",
"Requirement already satisfied: beautifulsoup4<5.0.0,>=4.9.1 in /usr/local/lib/python3.10/dist-packages (from deep-translator) (4.12.3)\n",
"Requirement already satisfied: requests<3.0.0,>=2.23.0 in /usr/local/lib/python3.10/dist-packages (from deep-translator) (2.31.0)\n",
"Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4<5.0.0,>=4.9.1->deep-translator) (2.5)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.23.0->deep-translator) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.23.0->deep-translator) (3.7)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.23.0->deep-translator) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.23.0->deep-translator) (2024.7.4)\n",
"Requirement already satisfied: gensim in /usr/local/lib/python3.10/dist-packages (4.3.3)\n",
"Requirement already satisfied: numpy<2.0,>=1.18.5 in /usr/local/lib/python3.10/dist-packages (from gensim) (1.26.4)\n",
"Requirement already satisfied: scipy<1.14.0,>=1.7.0 in /usr/local/lib/python3.10/dist-packages (from gensim) (1.13.1)\n",
"Requirement already satisfied: smart-open>=1.8.1 in /usr/local/lib/python3.10/dist-packages (from gensim) (7.0.4)\n",
"Requirement already satisfied: wrapt in /usr/local/lib/python3.10/dist-packages (from smart-open>=1.8.1->gensim) (1.16.0)\n"
]
}
],
"source": [
"!pip install wordsegment\n",
"!pip install num2words\n",
"!pip install deep-translator\n",
"!pip install gensim"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "b16dpglpVMZ5",
"outputId": "088abae4-6c65-46fd-e71e-1c9fd0110d8d"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
]
}
],
"source": [
"from google.colab import drive\n",
"drive.mount('/content/drive')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "2p1CSliqfPYo"
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import os\n",
"import re\n",
"import nltk\n",
"from nltk.corpus import stopwords\n",
"from nltk.tokenize import word_tokenize\n",
"from nltk.stem import WordNetLemmatizer\n",
"from wordsegment import load, segment\n",
"from num2words import num2words\n",
"from deep_translator import GoogleTranslator\n",
"from gensim.models.doc2vec import Doc2Vec, TaggedDocument\n",
"from sklearn.metrics.pairwise import cosine_similarity\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "GvOA_8h-6eU4",
"outputId": "0c120f57-2889-4f40-ce63-36c8dae030c2"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
"[nltk_data] Package stopwords is already up-to-date!\n",
"[nltk_data] Downloading package wordnet to /root/nltk_data...\n",
"[nltk_data] Package wordnet is already up-to-date!\n",
"[nltk_data] Downloading package punkt to /root/nltk_data...\n",
"[nltk_data] Package punkt is already up-to-date!\n"
]
},
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nltk.download('stopwords')\n",
"nltk.download('wordnet')\n",
"nltk.download('punkt')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "NiJu01Dq7E1d"
},
"source": [
"# DATASET RESUME 30k NONER\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "FQt_zGV-5rvE",
"outputId": "79baa8d4-467e-48fb-8a82-2e7f4aaa3f16"
},
"outputs": [
{
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"summary": "{\n \"name\": \"df\",\n \"rows\": 31566,\n \"fields\": [\n {\n \"column\": \"Unnamed: 0\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 9143,\n \"min\": 0,\n \"max\": 31679,\n \"num_unique_values\": 31566,\n \"samples\": [\n 24717,\n 2562,\n 21605\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"category\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 52,\n \"samples\": [\n \"database administrator\",\n \"public relations\",\n \"systems administrator\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"clean_data\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 31566,\n \"samples\": [\n \"software developer span lsoftwarespan span ldeveloperspan software developer icon technology inc charlotte nc work experience object oriented design modeling programming testing core java j2ee technology experience phase software development life cycle including project development scratch experienced complete project lifecycle using sdlc technique uml use case functional design document expertise object oriented programming using core java j2ee related technology proficiency developing secure web application serverside development using spring rest web service aop orm hibernate jdbc strut jsp servlets java bean javascript xml html java bean oracle soap web service various design pattern comprehensive knowledge physical logical data modeling performance tuning hand experience database including oracle db2 mysql experience environment requiring direct customer interaction requirement gathering design development support phase involved testing phase like unit testing integration testing performance testing including application profiling user acceptance testing strong analytical skill ability quickly understand client business need experience using continuous integration tool like jenkins knowledge amazon web service ec2 s3 experience memory leak detection jvm gc tuning experience working weblogic tomcat jboss experienced eclipse spring tool suite selfmotivated proven ability work independently team excellent team player quick learner selfstarter effective communication motivation organizational skill combined attention detail work experience software developer icon technology inc charlotte nc present rulo creating unique experience mortgage refinance purchase user us realtime pricing technology realtime processing technology crm system user experience significantly increase payouts couple impact well first rulo get offer wide range borrower allows user sort skip filtering step inside lendingtree go directly pricing engine way brings material increase customer satisfaction second rulo help reducing phone call increasing capacity lender massively spring boot application scratch spring mongo connection included idsrv4 oauth token validation enabled authentication rest apis designed rule engine evaluate complex expression expression tree incorporated kafka application transform mongo object relational table column used spring ioc injecting bean reduced coupling class implemented data access tier using dao asynchronous computation java completablefuture reading xml file multiple thread using sax parser used aop module handle transaction management service application identified fixed memory leak caused bug code involved deploying managing production setup aws service used aws service including ec2 vpc application deployment transforming requirement stipulation environment java spring rest service spring mvccorejpa sts svn aws ec2 s3 angular j html cs javascript security group vpc production deployment caching jms linux redhat jvm memory management design architectural pattern tdd concurrency agile maven bitbucket lead developer persistent system pune maharashtra project title cu loan platform mycb project creating loan platform aggregator web traffic originator direct personal loan application participation loan platform open multiple credit union platform single simple loan offered common term participating cu creditkyc check done using call credit service round robin cu allocation various filter agreement sending signing using adobe echosign api loan account creation disbursement using mambu apis role responsibility developed spring boot application scratch hibernate mysql created rest apis backend application integration application third party service mambu adobe echosign api call credit service involved architectural design api management using api gateway information security token based authentication role based authorization implemented design pattern command builder j2ee design pattern deployed application aws load balancer aws elastic ip white listed thirdparty apis ec2 vpc junit framework unit testing identification documentation technical depth issue prioritizing sprint transforming requirement stipulation environment core java spring rest service spring mvccorejpa aws ec2 s3 angular j html cs javascript security group vpc production deployment caching jms linux redhat jvm memory management design architectural pattern tdd concurrency agile maven project gdpr trunomi work location pune role lead developer consent management data sharing platform connects financial institution customer capturing customer consent use personal data financial institution provides secure messaging document sharing prove regulatory compliance general data protection regulation gdpr role responsibility developed nodejs back end application tpb eba part trunomi platform cassandra created rest apis application unit testing mocha implemented information security feature using hybrid encryption digital signing verification enable secure communication cfa customer front end application tpb trunomi platform backend application eba enterprise back end application multipart data environment nodejs cassandra git jira linux rest service individual contributor developer ibm india pvt ltd pune maharashtra india project title direct debit dispute barclays british multinational banking financial service company headquartered london universal bank operation retail wholesale investment banking well wealth management mortgage lending credit card direct debit dispute module added existing customer support banking application raise dispute direct debit barclays customer design application mca based architecture role responsibility implemented multithreaded solution complex computation implemented design pattern command builder j2ee design pattern involved agile project describing story listing task design application flow design development spring mvc based web application direct debit dispute identified fixed memory leak caused bug code responsible performing code review analysing risk project schedule unit testing junit framework environnent java web service log4j websphere application server tdd concurrency agile maven project bnp paribas role senior developer work location pune project title bmrc credit rick reporting system bmrc data warehouse store data credit rating credit risk different legal entity organisation across globe core technology involved plsql role responsibility converting high level design low level design wrote stored procedure using oracle plsql aggregation engine basel ii family low level design creation coding performance tuning stored procedure created unit test matrix performed unit test environment oracle g tdd project ibm software lab role java developer work location pune project title jazz service management security service security service make use single sign ltpa token work across websphere nonwebsphere application registry service shared data repository providing index application installed resource manage intended support loosely coupled integration open service lifecycle collaboration oslc expose functionality oslc service provider role responsibility incorporated cobertura running unit test case build developed ssodebug tool find problem failure encountered single sign responsible sign module single sign prototype developed oauth websphere application server tai based solution implemented command design pattern writing cli backend application wrote ddt case unit testing setup deploying product solarisredhataix platform identified deadlock issue code fixed adhering locking sequence environment java web service websphere application server linux aix tdd agile project ups united parcel service java developer work location pune project title open account marketing rate discount mrd application allows user apply rate change promo discount existing account open new account promo discount web seller account module allows web seller open online account without involving third party agent role responsibility designing developing new mrd module integrating existing application designed developed web seller account module integrated existing application requirement gathering client impact analysis project planning person estimation prepare design document design develop jsp page writing action business logic class web service oracle ejb java developer patni computer system ltd mumbai maharashtra india project title odin project related development odin application used configure celerra na device various na service like iscsi cifs nfs ui code involved multithreading role responsibility requirement analysis estimation design coding discus issue ar client resolving outofmemoryerror ui getting blocked writing strut action business logic class celerra feature like iscsi nfs cifs provisioning etc environment java struts13 web service project hitachi role java developer work location mumbai project title collaboration portal groupmax provides collaboration portal built around crossfunctionality security ubiquity globalization facilitating rich collaboration rapid knowledge acquisition beyond individual organizational framework help create virtual workplace collaboration enabling organization community bring together variety knowledge create new insight solve problem also enhanced security functionality built compliance mind applies electronic forum mobile device promote realtime communication knowledge sharing beyond barrier organization time place key bringing speed value business role responsibility requirement gathering client impact analysis interacting client clarify query regarding functionality risk analysis module term time line expected dependency module looking multithreaded solution given scenario coding code review environment core java strut web service spring hibernate oracle ejb project ge aviation u role java developer work location bangalore project title customer web center cwc goal project rebuild application initial provisioning using jsf framework portlet integrated portal based jboss portal framework initial provisioning application allows customer calculate spare part configuration based need allow place order part role responsibility requirement gathering client impact analysis interacting client clarify query regarding functionality coding code review developed dao class interact stored procedure back end developed package procedure interaction database test case creation unit testing various module environment java strut web service spring hibernate oracle ejb java15 jboss strut eclipse33 plsql developer education post graduate diploma information technology information technology iit kharagpur skill eclipse j2ee java hibernate spring jaxb jms jsp servlets strut application server git groovy nodejs jenkins svn xml mvc rest service soap\",\n \"full stack software developer full stack software span ldeveloperspan full stack software developer asoftio llc boca raton fl work experience full stack software developer asoftio llc miami fl present charge relational database design technology infrastructure implementation develop apis ruby rail backend consumed vuejs reactjs depending project scope implement bitcoin litecoin stripe payment gateway cloud mobile ecosystem practice agile methodology project sprint collaboration tool like jira trello others implement circleci cicd project led full stack developer cryptostudio llc created saas platform company sold online using stripe payment gateway crypto trading course developed tool called swap coin connected several crypto exchange create remote random order bitcoin litecoin payment method developed auto trading algorithm operate crypto exchange developed apps api ruby rail running mysql database redis queue system user platform made reactjs web front end developer bushido lab llc helped team structure new apps architecture mostly front end using react main framework backend certain apps use ruby rail case firebase project needed fast mvp ruby rail backend developer clever code sa bogot co colombia leader development team created several platform company client online advertising platform measure traffic click client website also developed ecommerce creator like shopify made laravel latin america using laravel time found many limitation hence reason moving ruby rail much reliable framework education wyncode academy fl b psychologist pontificia universidad bogot skill javascript reactjs redux php laravel ruby rail ruby rail scripting mysql nginx html5 bash linux wordpress jquery node react react node jquery nodejs link additional information skill ruby rail javascript ruby html5 css3 nodejs reactjs vuejs redux scripting linux mysql nginx npm yarn php laravel wordpress\",\n \"web developer uxui designer span lwebspan span ldeveloperspan uxui designer web designer demonstrated history working uxui edison nj experienced web designer demonstrated history working user experience information technology education industry skilled sketch cascading style sheet cs html wireframing ui prototyping strong designing professional master degree focused computer science authorized work u employer work experience web developer uxui designer academy belleville nj present created washington academy official website based wordpress initiated user experience research design client implemented website portal district parent teacher implemented designing skill technical knowledge research delivery full stack developer finslide technology corp new york ny efficiently shared skill design functionality finslide mobile webbased module ux ui web developer desktop creator successfully worked user experience user interface client desktop creator applying knowledge web development education master computer science monroe college new rochelle bachelor computer application university skill user experience sketch wireframe html css3 ux adobe ui user interface link assessment graphic design highly proficient measure candidate ability create visual medium effectively communicate information concept full result basic word processing microsoft word expert measure candidate knowledge basic microsoft word technique word processing including use tool format edit text full result indeed assessment provides skill test indicative license certification continued development professional field\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"text_length\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 543,\n \"min\": 1,\n \"max\": 8930,\n \"num_unique_values\": 2594,\n \"samples\": [\n 741,\n 2301,\n 1925\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}",
"type": "dataframe",
"variable_name": "df"
},
"text/html": [
"\n",
" <div id=\"df-237964ed-84e9-4338-b747-8dc0f0604636\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Unnamed: 0</th>\n",
" <th>category</th>\n",
" <th>clean_data</th>\n",
" <th>text_length</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>accountant</td>\n",
" <td>result oriented organized bilingual accounting...</td>\n",
" <td>550</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>accountant</td>\n",
" <td>flexible accountant adapts seamlessly constant...</td>\n",
" <td>865</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>accountant</td>\n",
" <td>highly analytical detail oriented professional...</td>\n",
" <td>699</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>accountant</td>\n",
" <td>analysis prepare auction sale journal finalize...</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>accountant</td>\n",
" <td>experience accounting profession bachelor degr...</td>\n",
" <td>482</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-237964ed-84e9-4338-b747-8dc0f0604636')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-237964ed-84e9-4338-b747-8dc0f0604636 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-237964ed-84e9-4338-b747-8dc0f0604636');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-973dd84c-52bd-4920-89a3-a9fa6626621b\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-973dd84c-52bd-4920-89a3-a9fa6626621b')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-973dd84c-52bd-4920-89a3-a9fa6626621b button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"text/plain": [
" Unnamed: 0 category clean_data \\\n",
"0 0 accountant result oriented organized bilingual accounting... \n",
"1 1 accountant flexible accountant adapts seamlessly constant... \n",
"2 2 accountant highly analytical detail oriented professional... \n",
"3 3 accountant analysis prepare auction sale journal finalize... \n",
"4 4 accountant experience accounting profession bachelor degr... \n",
"\n",
" text_length \n",
"0 550 \n",
"1 865 \n",
"2 699 \n",
"3 308 \n",
"4 482 "
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv('/content/drive/MyDrive/Collab Dataset/final/resume30k_noner.csv')\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "SiJ82oB1EcQM"
},
"outputs": [],
"source": [
"from gensim.models.doc2vec import Doc2Vec, TaggedDocument\n",
"\n",
"# Step 1: Extract the text data\n",
"documents = df['clean_data'].tolist()\n",
"\n",
"# Step 2: Prepare the data for training the Doc2Vec model\n",
"tagged_data = [TaggedDocument(words=doc.split(), tags=[str(i)]) for i, doc in enumerate(documents)]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "GuC-x7yufyWo",
"outputId": "93e62532-6913-4740-d85c-aad4ad581d69"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 54min 8s, sys: 39.4 s, total: 54min 48s\n",
"Wall time: 34min 57s\n"
]
}
],
"source": [
"# Step 3: Train the Doc2Vec model\n",
"%%time\n",
"modelr30knoner = Doc2Vec(tagged_data, vector_size=20, window=2, min_count=1, workers=4, epochs=50)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "cg5kOktIhWZJ"
},
"outputs": [],
"source": [
"modelr30knoner.save('/content/drive/MyDrive/Collab Dataset/final/modelr30knoner.model')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "FTJUolNM7Lp-"
},
"source": [
"# DATASET CV HUGGING\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "bdRVvsbb7Lp-",
"outputId": "8984a1e7-457a-4c9f-a879-c0221dc98f18"
},
"outputs": [
{
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"summary": "{\n \"name\": \"df\",\n \"rows\": 31662,\n \"fields\": [\n {\n \"column\": \"clean_data\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 31651,\n \"samples\": [\n \"senior python developer senior span lpythonspan span ldeveloperspan senior python developer nike pittsburgh pa seven year experience industry proficiency design development python java j2ee django flask project handy experience developing web application using python django php xml cs htmldhtml javascript jquery extensive experience python web frame work like django pyramid flask implementing model view control mvc architecture automating complex workflow using python test automation good experience shell scripting sql server unix linux open stack actively involved phase software development life cycle sdlc experience agile software methodology good experience object oriented analysis developing frontend backend framework using various design pattern excellent experience various python integrated ides sublime text geanypycharm eclipse netbeans experienced advance sa analytical programming technique good experience software development python library used library beautiful soup numpy scipy matplotlib pythontwitter panda data frame network urllib2 mysql db database connectivity experienced designing web page graphical user interface front end layout web using html dhtml cs bootstrap framework php xml javascript node j angular j hand experience docker puppet chef ansible aws cloudformation aws cloudfront different testing methodology like unit testing integration testing web application testing selenium testing performed experience designing automation framework using perl shell scripting hand experience working wamp window apache mysql pythonphp lamp linux apache mysql pythonphp architecture expertise working different database like oracle mysql postgresql good knowledge using nosql database open vms unix solaris linux nt system performed system tuning function installed software nt unix alphaservers experienced integration mongodb casandra database experience version control ideally svn jiracvs git worked tableau qlikview create dashboard visualization experience gui framework pyjama jython experience implementation python web framework like pylon web2py python servlet enginepse good understanding openshift platform managing docker container kubernates cluster good knowledge agile methodology scrum hand experience installation configuration apache tomcat server experienced developing multithreaded web service using cherrypy bottlepy framework handy experience using big data cloud service like pig hive kafka map reducing large amount data easily analyzed good programming problem solving skill commitment result oriented quest zeal learn new technology practical experience working multipleenvironments like development testing production good understanding jingo orm sqlalchamy good knowledge core java oops concept work experience senior python developer nike portland present responsibility implemented user interface guideline standard throughout development maintenance website using html cs javascript jquery implemented ajax dynamic functionality web page front end application worked front end framework like cs bootstrap responsive web page implemented presentation layer using cs framework node j angular j wireframing html5 designed led big data algorithm using hadoop java improve forecasting used hive ql generate report analysis design development web enterprise application using java j2ee technology integrated apache kafka data ingestion experience software service saas developed tested software using m access database optimized code use oracle database unix server designed developed plsql procedure designimplement large scale pubsub message queue using apache kafka design development new technical flow based javaj2ee technology used integrated environment java eclipse rad netbeans clear case v working knowledge java web service real time knowledge using soap rest responsible setting angular j framework ui development developed html view html5 css3 json angular j adobe flash developed business process execution language process deployed using oracle soa suite 11g configuring docker container ad creating docker file different environment delivered automated solution science model implemented rabbitmq backend service used various xml technology including sax dom others formtransform data developed web application restful web service apis using python flask django maintained updated existing automated solution used jython wireshark test troubleshoot proper xml soap packet creation using autogenerated java webservices eventually allowing pb replace outsourced php code python web service call used aws service like ec2s3 dynamo db api gateway route redshift building application implement data transfer sql server redshift using aws data pipeline aws s3 bucket aws ec2 worker group aws sn managed datasets using panda data frame mysql queried mysql relational database rdbms query python using pythonmysql connector mysqldb package retrieve information worked docker container snapchats attaching running container removing image managing directory structure managing container worked sql combined database environment like sa oracle teradata automated existing script performance calculation using numpy sql alchemy developed test script automation selenium used spring mvc model view controller intercept user request used various controller delegate request flow backend tier application included spark efficient handling information characterizing work stream develop remote integration third party platform using restful web service successful implementation apache spark spark streaming application large scale data developed frontend application using bootstrap model view controller angularjs framework created new jsp view incorporate backend functionality display ui screen using client rich technology like jquery javascript html cs file redesigning existing web application new technology like bootstrap angularjs developed tested many feature dashboard created using bootstrap cs javascript worked server side application django using python programming used panda data alignment data manipulation migrated application aws cloud utilized standard python module csv itertools pickle development worked python openstack apis used numpy numerical analysis used ajax jquery transmitting json data object frontend controller developed wrapper python instantiating multithreaded application developed view template python djangos view controller templating language created userfriendly website interface managed datasets using panda data frame mysql queried mysql database query python using pythonmysql connector mysqldb package retrieve information developed various algorithm generating several data pattern developed data pipeline using spark hive ingest transform analyzing data wrote data filter perl clean preprocess data experienced developing web service python programming language used jira bug tracking issue tracking added several option application choose particular algorithm data address generation designed developed parallel execution process using sa grid developed project linux environment used agile methodology scrum process maintained version using git sending release note release supported issue seen tool across team several project environment python django saas devobs cs ibm appscan html apache kafka bootstrap perl javascript jquery ajax mysql linux heroku git sr python developer johnson son racine wi responsibility business logic implementation data exchange xml processing graphic creation done using python django view template developed python create userfriendly website interface djangos view controller template language used developed ui using cs html javascript angularjs jquery json db2 sql procedure unix shell script designed developed data importexport conversion integrated apache ignite hadoop data ingestion django dashboard custom look feel end user created careful study django admin site dashboard unit test python library used testing many program python code worked selenium testing framework jira used build environment development used web application development using django python flask python jquery ajax using htmlcssjs serverside rendered application develop unix shell script xml configuration file different testing methodology like unit testing integration testing web application testing selenium testing performed used django framework application development developed user interface using cs html javascript jquery ruby rail assisted reduction cost optimization supplier selection crm application ensured high quality data collection maintaining integrity data cleaned data processed third party spending data maneuverable deliverable within specific format excel macro python library developed data sourcing component data standardization component using spark used several python library like wxpython numpy matplotlib involved environment code installation well svn implementation build database mapping class using django model cassandra used panda api put data time series tabular format east timestamp data manipulation retrieval hand experience continuous integration automation using jenkins designed developed data management system using mysql creating unit testregression test framework workingnew code optimizing exiting algorithm hadoop using spark sql spark context pair rdds project also used technology like jquery java script manipulation bootstrap frontend html layout responsible debugging troubleshooting web application developed tested debugged software tool utilized client internal customer coded test program evaluated existing engineering process designed configured database back end application program performed research explore identify new technological platform collaborated internal team convert end user feedback meaningful improved solution resolved ongoing problem accurately documented progress project environment python django java script sql server html dhtml cs linux sub version wing ajax full stack python developer asurion san mateo ca responsibility developed python script read excel file generate xml configuration file also generating ip access frequency list different data log developed view template python djangos view controller templating language create userfriendly website interface designed email marketing campaign also created responsive web form saved data database using python django framework designed developed web service using restful soap protocol apache xml json generated python django form crispy form record data login signup online user learned technical skill required system like cherrypy django flask panda jira heroku etc used flask framework application development collaborated team instructor programmer develop curriculum guideline workshop teach logic programming worked development enhancement module raildocs running design team project structure developed data pipeline using flume spark hive ingest transform analyzing data successfully migrated django database sqlite mysql postgressql complete data integrity implemented robot automation framework scratch upgraded python python rhel server upgrade necessary lined model utf8 character causing unexpected error developed application access json xml restful web service consumer side using javascript angularjs created entire application using python flask mysql linux expertise developing webbased lamd stack application using python django large dataset analysis analysed sql script designed solution implement using scala designed implemented random unique test selector package processing large volume data using python django orm developed api endpoint scala used functional programming data aggregation pagination parsing using jackson library used amazon elastic beanstalk amazon ec2 deploy project aws developed implemented user registration login feature application process scratch extending django user model manage rearchitecture jenkins integration confluence release management documentation asset architect maven based system reducing build time write wrapper program python automate entire process like running different executables fortan call java swing program database administration activity like taking backup checking log message looking database optimization learned create specific image using python imaging library custom image used book helped team member set understand robot framework automation implementation developed maintained parsing module read csv xml json data file rest service processed data environment python rabbitmq fortan xml wsdl cherrypy flask django panda mysql cs html jenkins google app engine python developer state north dakota bismarck nd responsibility responsible requirement gathering designing developing web based application coded model level validation provide guidance making long term architectural design decision also used agile methodology scrum process developed handled business logic backend python programming achieve optimal result developed remote integration third party platform using restful web service worked element tree xml api python parse xml document load data database wrote deployed daily production system using perl developed view template django create user friendly website interface developed user interface using html cs javascript ajax json jquery experienced bootstrap mechanism manage organize html page layout used javascript validate client side validation used django configuration manage url application parameter used panda api put data time series tabular format manipulation retrieval data implemented web application using javascript html rdbms used panda library statistical analysis involved worked python open stack apis used python script update content database manipulate file build server using aws importing volume launching ec2 rds creating security group auto scaling load balancer elbs defined virtual private connection used several python library wxpython numpy spicy matplotlib experience development web service soap restful sending getting data external interface xml json format worked creation custom docker container image tagging pushing image responsible debugging troubleshooting web application created unit testregression test framework working new code involved implementation automate script back old record using mongo db export command transferred backup file backup machine help ftplib worked mongo db replication concept used maintain multiple copy data different database server involved build deployment various environment including linux unix worked team developer python application risk management used design pattern efficiently improve code reusability also used jira bug tracking issue tracking hand experience version control tool github amazon ec2 environment django html cs javascript ajax json perl jquery mango db risk management tdd soap rest mvc github python developer hughes network system gaithersburg md responsibility developed view template python django view controller templating language create user friendly website interface used pyunit python unit test framework python application used django framework develop application used python module request urlib urlib2 web crawling used package beautiful soup data parsing worked montreal team build multiple apis enterprise level version rest service using python falcon wsgi worked building database mapping class using django model implemented presentation layer html ajax cs javascript jquery angular j experience json based web service amazon web service aws worked jenkins continuous integration created user control simple animation using java script python generated python django form record data online user used pyquery selecting particular dom element parsing html successfully migrated django database sqlite postgresql complete data integrity enhanced existing automated solution editorial tool automated request reporting wrote python script parse xml document load data database worked json based rest web service created git repository added project github also worked jira issue management track sprint cycle environment python django mvc pyunit json rest github jira xml dom html ajax cs jquery agile sqlite postgresql python developer progressive digital medium private limited responsibility programming python well perl participated complete sdlc process developed view template python djangos view controller templating language create userfriendly website interface developed user interface using cs html javascript jquery created entire application using python django mysql linux designed implemented dedicated mysql database server drive web apps report daily progress used django framework application development wrote unit test case testing tool collaborated internal team convert end user feedback meaningful improved solution enhanced existing automated solution inquiry tool automated asset department reporting added new feature fixed bug embedded ajax ui update small portion web page avoiding need reload entire page improved performance using modularized approach using built method performed data manipulationstorage incoming test data using lxml etree library developed api modularizing existing python module help pyyaml library designed configured database back end application program performed research explore identify new technological platform environment python django puppet rspec grafanagraphite mysql linux html cs jquery javascript apache linux git perl cassandra education bachelor skill cs seven year django seven year html seven year javascript seven year python seven year additional information technical skill programming language python java plsqlphp query language sql plsql operating system window vistaxp7810 linux unix o deployment tool aws ec2 s3 elb eb rds s heroku jenkins azure web development cs html dhtml xml javascript angular j jquery ajax web server websphere weblogic soap restful python framework django flask web2py bottle pyramid rabbitmq django flask pyramid django rest pyjama jython bug tracking tool jira bugzilla junit gdb database oracle 11g10g9i mysql sql server postgresql nosql mongodb rdbms django orm cassandra methodology agile scrum waterfall ides sublime text pycharm eclipse netbeans jdeveloper weblogic workshop rad version control cv svn git github\",\n \"sr developer sr span ldeveloperspan sr java developer 3m company woodbury mn creative javaj2ee developer nine year experience dedicated building optimizing performance usercentric highimpact website global company leverage technical analytical problemsolving skill create dynamic highspeed website apps platform fueling competitive advantage revenue growth sponsorship required work u work experience sr developer 3m company saint paul mn present working collaboratively client sap inhouse team agileenvironment provide rapid robust clientacclaimed front backend development project project summary global safetydatasheets sd distribution application rearchitected existing application springbased java batch application improved performance sending document document per min extended application usability european country three year achieved near sending sd time would otherwise lead compliance related fine imposed 3m company encouraged use code review team using tool like pmd checkstyle created shell script plsql script executed daily refresh data feed multiple system followed agilebased approach development used jira track development recycling administration spearheaded development configuration system providing reporting capability recyclable material interfaced application sap asgcypress team receive high volume data real time without affecting application created rest service utilized webapplication made use messaging apis like activemq sendreceive notification prls java developer apple inc cupertino ca worked lead developer apple create update maintain apple retail project project summary store management system enhanced existing application springbased webapplication manage information apple retail store created several rest service interact ui provide user requested information increased performance extensibility manageability testability code worked db team improve performance retail apps monitor created webapp monitor network traffic apple store implemented code using spring core java hibernate participated database design application shoppertrak led development creating webapp using jquery spring rest service hibernate increased productivity using jenkins continuous build sonar code coverage analysis store inventory management created app keep track inventory available store participated server upgrade maintainability code migration worked important enhancement education bachelor electronics communication engineering institute engineering emerging technology baddi himachal pradesh skill j2ee java hibernate java technology spring jax jaxb jaxws jboss jquery jsp servlets rest jdbc sql server mysql oracle sql html5 soap javascript linux link certificationslicenses oracle certified associate java programmer present assessment problem solving highly proficient measure candidate ability analyze relevant information solving problem full result indeed assessment provides skill test indicative license certification continued development professional field\",\n \"system administrator span lsystemsspan span ladministratorspan system administrator ideal image tampa fl computer science professional ten year experience information technology field management information system work experience system administrator ideal present administrated managed head office network system infrastructure compounded site around state virtual physical window server data center responsible sharepoint server administration currently migrating data microsoft office creating new site taxonomy better organization access control participated analysis acquisition sans dell equal logic ps6510 data center centralize data create better performance reliable business continuity planning virtualized physical server using microsoft hyperv get better performance redundancy strong business continuity planning saving cost maintenance power consumption implemented wireless service site using clustered juniper wlc880 controller wla322us access point implemented ring master managing monitoring device migrated wireless infrastructure juniper wlc880 cisco meraki mr32 cloud based restructured bcp data center moving existing equipment different cabinet replacing low performance server managed office cloud server service m exchange sharepoint lync im active directory group policy file server terminal server web server server among others responsible enterprise backup strategy using symantec backup analysis documentation disaster recovery plan entire organization monitored log file backup system performance using solarwinds whatsupgold spotlight among tool provided tier support desktop support team managed window patching antivirus using kaseya symantec endpoint manager server responsible pci compliance scanning using qualys platform data encryption pgp implemented air watch managing monitoring mobile device system administrator administrated managed head office network system infrastructure compounded site around globe virtual physical server connected mpls circuit managed virtual server using m hyperv technology domain controller dns dhcp terminal server print server file service server websharepoint symantec antivirus endpoint window update service server wsus monitored managed citrix terminal server allow access external user main sap bpc database among others application managed office cloud server service m exchange sharepoint lync im monitored managed lifesize server system global high definition video conferencing managed active directory user account permission access right storage allocation accordance bestpractices regarding privacy security regulatory compliance participated integration migration different domain single one managed software asset management sam reduce cost licensing microsofts product site participated planning implementation dell kace server ticketing system software hardware inventory participated migration m sharepoint email m office cloud service participated deployment global voip system based cisco telephony technology performed software hardware improvement upgrade patch reconfigurations andor purchase managed inputoutput fleet including printer hp konica ricoh scanner managed connection solution including server connectivity local area network wide area network company web site performed tested routine system backup restores troubleshoot resolved hardware software problem server workstation developed documented maintained policy procedure associated training plan system administration appropriate us system administrator aecom administered puerto rico railroad network system local area network wide area network field office server user participated planning designing implementation system virtualization using vmware esxi reducing amount physical server saving cost maintenance power consumption managed virtual server using vmware esxi domain controller server dns server dhcp server m server blackberry enterprise server terminal server print server file service server websharepoint server symantec antivirus server window update service server wsus among others experience maintaining installing ibmdellhp storage area network san cluster planned designed implemented migration window nt platform platform active directory implementation group policy firewall checkpoint isa server implementation symantec endpoint antivirus server implementation file server upgrade documented procedure participated planning designing implementation integration two domain planned designed implemented wide area network wan field office including recommendation purchasing communication hardware router switch server computer printer among equipment supervised contractor installation new network cabling requested rfi rfp supervised contractor installation wireless connection connected one field office lan planned designed implemented disaster recovery plan researched implemented backup solution symantec veritas dell power vault solution planning developing implementing project including budget ensured system performance including backup system antivirus software firewall email provision print service experience managing project team developing solution researched installed new system based business need obtained analyzed supplier proposal ensure costeffectiveness trained mentored support staff provided technical support user aecom technician kelly handled service request inquiry user helped maintain network connectivity seven field office puerto rico train system project headquarters using fully dedicated t1 line performed hardware software maintenance well installation assisted administration window nt20002003 network including data backup antivirus software actualization workstation monitored maintained data integrity security parameter education bachelor computer science inter american university additional information technical skill window server nt dell kace network configuration isa server active directory sonic wall dns check point win hd video conference dhcp microsoft exchange owa tcpip symantec mail security smpt m office symantec endpoint protection manager sharepoint administration blackberry enterprise server virtualization hyperv vmware symantec backup exec software budget management print file server configuration project management wireless network juniper srx wlc880 wlc window workstation suite shoretel director microsoft office suite qualys pci compliance visio data center dell blade m1000 equallogic san crm cisco meraki access point experience knowledge webpage design mac linux backtrack red hat mandrake msaccess cisco sap sql visual basic oracle procom plus pbx call collector vpon surveillance system kantech entrapass access control\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"text_length\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 569,\n \"min\": 2,\n \"max\": 9409,\n \"num_unique_values\": 2694,\n \"samples\": [\n 2090,\n 1503,\n 392\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}",
"type": "dataframe",
"variable_name": "df"
},
"text/html": [
"\n",
" <div id=\"df-7ec3e7e4-1fcd-45e7-8fee-ee975aa3c2ba\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>clean_data</th>\n",
" <th>text_length</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>accountant professional summary result oriente...</td>\n",
" <td>568</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>staff accountant summary flexible accountant a...</td>\n",
" <td>875</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>staff accountant summary highly analytical det...</td>\n",
" <td>733</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>senior accountant summary highly competent mot...</td>\n",
" <td>512</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>senior accountant summary eleven year experien...</td>\n",
" <td>500</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7ec3e7e4-1fcd-45e7-8fee-ee975aa3c2ba')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-7ec3e7e4-1fcd-45e7-8fee-ee975aa3c2ba button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-7ec3e7e4-1fcd-45e7-8fee-ee975aa3c2ba');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-259b9d95-6c36-4aea-9909-ae4e723b5c27\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-259b9d95-6c36-4aea-9909-ae4e723b5c27')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-259b9d95-6c36-4aea-9909-ae4e723b5c27 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"text/plain": [
" clean_data text_length\n",
"0 accountant professional summary result oriente... 568\n",
"1 staff accountant summary flexible accountant a... 875\n",
"2 staff accountant summary highly analytical det... 733\n",
"3 senior accountant summary highly competent mot... 512\n",
"4 senior accountant summary eleven year experien... 500"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv('/content/drive/MyDrive/Collab Dataset/final/cv_hugging.csv')\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "_YG60wpp7Lp_"
},
"outputs": [],
"source": [
"from gensim.models.doc2vec import Doc2Vec, TaggedDocument\n",
"\n",
"# Step 1: Extract the text data\n",
"documents = df['clean_data'].tolist()\n",
"\n",
"# Step 2: Prepare the data for training the Doc2Vec model\n",
"tagged_data = [TaggedDocument(words=doc.split(), tags=[str(i)]) for i, doc in enumerate(documents)]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "KSJ3P4pE7Lp_",
"outputId": "29488090-0b3c-4357-b25e-248b0d4619f0"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 57min 17s, sys: 42.3 s, total: 58min\n",
"Wall time: 36min 45s\n"
]
}
],
"source": [
"# Step 3: Train the Doc2Vec model\n",
"%%time\n",
"modelcvhugging = Doc2Vec(tagged_data, vector_size=20, window=2, min_count=1, workers=4, epochs=50)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "tC5ASsZI7Lp_"
},
"outputs": [],
"source": [
"modelcvhugging.save('/content/drive/MyDrive/Collab Dataset/final/modelcvhugging.model')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "oFSvIaRdFX86"
},
"source": [
"# DATASET CV combined hugging all\n",
"\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "clTV3ybYFX86",
"outputId": "4054faf7-c98f-4b6c-889a-568e724d3d03"
},
"outputs": [
{
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"summary": "{\n \"name\": \"df\",\n \"rows\": 67075,\n \"fields\": [\n {\n \"column\": \"clean_data\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 66996,\n \"samples\": [\n \"job description make coordination increase product sale marketing local corporate government channel involving event organizer business partner promoting product make effective marketing strategy oriented salestarget achievement build manage relationship business partner client supplier able sale company product service beauty related led lighting requirement link connection local corporate client government least two year working experience sale marketing manager government industrial project preferred lighting industry basic knowledge beauty industry experience beauty industry plus skill marketing development strategy marketing analysis business strategy good communication skill strong business presentation skill able manage marketing budget honest initiative agile creative join immediately position two person benefit meal allowance transport reimbursement bb toll parking b pjs health labor three month\",\n \"qualification maximum age thirty five year minimum graduate smk associate degree interior design civil engineering architecture minimum one two year experience working field similar interior contractor required skill knowledge civil engineering furniture manufacturing technique work sequence fieldwork method efficient project management able read working drawing communicative initiative able work team honest ready work pressure willing learn high motivation job coordinate work drafter team craftsman client main power labor schedule organize implementation labor project equipment strong understanding interior furniture construction installation construction schedule cost estimate evaluate make report result daily work implementation weekly report field make built drawing assist q inventory process calculation material requirement operate autocad sk hup microsoft office represent company taking care various administrative matter building management project located understand technical aspect interior project development restaurant cafe retail outlet office project general comprehensive starting civil interior fitout furniture related mep maintaining discipline company internal workforce vendor involved various job interior project accordance existing building regulation understanding interior material needed\",\n \"role work directly closely head strategy program partnership fundraising manager responsible developing relationship partner various sector well seeking new income stream grant enable yabb achieve self sustainability support program line yabb mission goal also responsible designing overseeing implementation portfolio program strategy achieve target revenue responsibility drive collaboration party involved order prioritize schedule deliver impact seek establish maintain relationship partner sector including ngo corporate government work together internal team leverage relationship partnership purpose together head strategy program help set partnership target help solidify position program identify new donor base identify new potential income stream limited grant produce strategy proposal access fund establish maintain relationship client sector including ngo corporate work together internal team leverage relationship revenue fundraising prepare give presentation related income fundraising purpose design portfolio purpose program specifically revenue generating includes researching programmatic due diligence writing project proposal providing thorough analysis overseeing event campaign related foundation image fundraising strategy successfully work partnership cross functional partner team develop strong relationship across stakeholder need 5 year experience partnership management fundraising nonprofit organization demonstrated track record community partnership development clear experience developing implementing strategic business plan demonstrated track record fundraising proven ability build manage key stakeholder internally externally excellent written verbal indonesian english communication skill strong emphasis persuasive written spoken communication team anak bang ab foundation yabb nonprofit organization goto group founded advance equal opportunity develop resilient changemakers committed solving pressing challenge environment society embody spirit go yong empowering progress together foundation activity initiated internally within go ecosystem partnership private public sector part goto driven shared value creation whilst striving push boundary bias towards technology innovation\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"text_length\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 483,\n \"min\": 2,\n \"max\": 9409,\n \"num_unique_values\": 2698,\n \"samples\": [\n 1855,\n 1554,\n 2156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}",
"type": "dataframe",
"variable_name": "df"
},
"text/html": [
"\n",
" <div id=\"df-f6d4ef25-ab61-40e0-b8ea-53b65b48d886\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>clean_data</th>\n",
" <th>text_length</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>accountant professional summary result oriente...</td>\n",
" <td>568</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>staff accountant summary flexible accountant a...</td>\n",
" <td>875</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>staff accountant summary highly analytical det...</td>\n",
" <td>733</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>senior accountant summary highly competent mot...</td>\n",
" <td>512</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>senior accountant summary eleven year experien...</td>\n",
" <td>500</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f6d4ef25-ab61-40e0-b8ea-53b65b48d886')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-f6d4ef25-ab61-40e0-b8ea-53b65b48d886 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-f6d4ef25-ab61-40e0-b8ea-53b65b48d886');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-dbeef971-16d9-41f5-92b6-bfd9ef4ae5ec\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-dbeef971-16d9-41f5-92b6-bfd9ef4ae5ec')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-dbeef971-16d9-41f5-92b6-bfd9ef4ae5ec button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"text/plain": [
" clean_data text_length\n",
"0 accountant professional summary result oriente... 568\n",
"1 staff accountant summary flexible accountant a... 875\n",
"2 staff accountant summary highly analytical det... 733\n",
"3 senior accountant summary highly competent mot... 512\n",
"4 senior accountant summary eleven year experien... 500"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv('/content/drive/MyDrive/Collab Dataset/final/combined_all+hugging_all.csv')\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "gyFdf-gGFX87"
},
"outputs": [],
"source": [
"from gensim.models.doc2vec import Doc2Vec, TaggedDocument\n",
"\n",
"# Step 1: Extract the text data\n",
"documents = df['clean_data'].tolist()\n",
"\n",
"# Step 2: Prepare the data for training the Doc2Vec model\n",
"tagged_data = [TaggedDocument(words=doc.split(), tags=[str(i)]) for i, doc in enumerate(documents)]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "W7raTO0UFX87",
"outputId": "6a13c771-df24-4b2f-a2a6-9ac2bf26ed3f"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 1h 15min 50s, sys: 1min 15s, total: 1h 17min 5s\n",
"Wall time: 49min 38s\n"
]
}
],
"source": [
"# Step 3: Train the Doc2Vec model\n",
"%%time\n",
"modelcvhuggingcombineall = Doc2Vec(tagged_data, vector_size=20, window=2, min_count=1, workers=4, epochs=50)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "e468ISxZFX87"
},
"outputs": [],
"source": [
"modelcvhuggingcombineall.save('/content/drive/MyDrive/Collab Dataset/final/modelcvhuggingcombineall.model')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ZcnCZ7_lvMC5",
"outputId": "679a4691-7b6f-47a9-e5e2-0d3f095d3d3e"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
"[nltk_data] Package stopwords is already up-to-date!\n",
"[nltk_data] Downloading package wordnet to /root/nltk_data...\n",
"[nltk_data] Package wordnet is already up-to-date!\n",
"[nltk_data] Downloading package averaged_perceptron_tagger to\n",
"[nltk_data] /root/nltk_data...\n",
"[nltk_data] Package averaged_perceptron_tagger is already up-to-\n",
"[nltk_data] date!\n"
]
}
],
"source": [
"import re\n",
"from nltk.corpus import stopwords\n",
"from nltk.tokenize import word_tokenize\n",
"from nltk.stem import WordNetLemmatizer\n",
"from wordsegment import load, segment\n",
"from num2words import num2words\n",
"from deep_translator import GoogleTranslator\n",
"from nltk.tag import pos_tag\n",
"import spacy\n",
"\n",
"nltk.download('stopwords')\n",
"nltk.download('wordnet')\n",
"nltk.download('averaged_perceptron_tagger')\n",
"\n",
"load()\n",
"translator = GoogleTranslator(source='id', target='en')\n",
"\n",
"nlp = spacy.load(\"en_core_web_sm\")\n",
"\n",
"def split_text(text, max_length):\n",
" \n",
" words = text.split()\n",
" parts = []\n",
" current_part = []\n",
"\n",
" for word in words:\n",
" if len(' '.join(current_part + [word])) <= max_length:\n",
" current_part.append(word)\n",
" else:\n",
" parts.append(' '.join(current_part))\n",
" current_part = [word]\n",
"\n",
" if current_part:\n",
" parts.append(' '.join(current_part))\n",
"\n",
" return parts\n",
"\n",
"\n",
"def remove_verbs(text):\n",
" doc = nlp(text)\n",
" non_verbs = [token.text for token in doc if token.pos_ != \"VERB\"]\n",
" return ' '.join(non_verbs)\n",
"\n",
"def preprocessing_data(text):\n",
" \n",
"\n",
" text = text.lower()\n",
" text = remove_verbs(text)\n",
"\n",
" text = re.sub(r'http\\S+|www\\S+|https\\S+', '', text, flags=re.MULTILINE)\n",
" text = re.sub(r'[^\\w\\s]', ' ', text)\n",
" text = text.replace('s1', 'bachelor')\n",
" text = text.replace('s2', 'master')\n",
" text = text.replace('s3', 'doctorate')\n",
" text = text.replace('d3', 'associate degree')\n",
" text = text.replace('d4', 'professional degree')\n",
"\n",
" \n",
" pattern = r'\\b\\d+\\b'\n",
"\n",
" def replace_with_words(match):\n",
" number = int(match.group())\n",
" return num2words(number)\n",
"\n",
" text = re.sub(pattern, replace_with_words, text)\n",
"\n",
" \n",
" segmented_text = segment(text)\n",
" text = ' '.join(segmented_text)\n",
"\n",
" text = re.sub(r'[^a-zA-Z0-9\\s]', '', text)\n",
" text = text.replace('\\n', ' ')\n",
" text = text.replace('etc', ' ')\n",
"\n",
" stop_words = set(stopwords.words('english'))\n",
" tokens = word_tokenize(text)\n",
" tokens = [word for word in tokens if word not in stop_words]\n",
"\n",
" lemmatizer = WordNetLemmatizer()\n",
" tokens = [lemmatizer.lemmatize(word) for word in tokens]\n",
"\n",
" preprocessed_text = ' '.join(tokens)\n",
"\n",
" # preprocessed_text = remove_verbs(preprocessed_text)\n",
"\n",
" return preprocessed_text"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "-2gtYbimHkET"
},
"outputs": [],
"source": [
"data = [\n",
" [\"CVGPT1 Data Science\", \"I am an analytical and detail-oriented Data Scientist with a strong background in data analysis, visualization, and database management. I possess proficiency in tools such as SQL, Excel, Python, and R, with a keen ability to extract meaningful insights from large datasets. I am an excellent communicator capable of conveying complex data insights to non-technical audiences. As a fresh graduate with outstanding academic performance and hands-on experience in data projects, I am eager to contribute my skills and knowledge to a dynamic team. I hold a Bachelor of Science in Data Science from a reputable university, where I graduated in June 2024 with a GPA of 3.95/4.00. My relevant coursework includes Data Analysis, Data Visualization, SQL, Python Programming, R Programming, and Database Management.\"],\n",
" [\"CVGPT4 FullStack Developer\", \"Experienced Lead Developer and Fullstack Developer with over five years of professional experience in software development and two years in leadership roles. Proficient in Java, Spring Boot, and React.js, with a strong understanding of RESTful API design and implementation. Adept at managing and mentoring development teams, overseeing the design and development of scalable web applications, and implementing CI/CD pipelines. Excellent leadership, problem-solving, and communication skills, with a proven ability to motivate and inspire team members. Bachelor of Science in Computer Science Reputable University Graduated: June 2018 Relevant Coursework: Software Development, Database Management, Agile Methodologies, Cloud Computing\"],\n",
" [\"CVRIL1 Data Science\",\"areas interest deep learning control system design programming python electric machinery web development analytics technical activities hindustan aeronautics limited bangalore weeks guidance mr satish senior engineer hangar mirage fighter aircraft technical skills programming languages matlab python java web frameworks django flask simulation software ltspice intermediate mipower intermediate version control git gitbash github data analysis notebook tools jupyter notebook database management xampp mysql basics python software packages anaconda python two python three pycharm java ide eclipse operating systems windows ubuntu debian kali linux education details january two thousand nineteen btech electrical electronics engineering manipal institute technology january two thousand fifteen deeksha center january two thousand thirteen little flower public school august two thousand manipal academy higher education experience company themathcompany description currently working casino based operator macau responsibilities include segmenting customers based value bring company providing data backed insights improved segmentation target marketing strategy skill details data analysis less than one year excel less than one year machine learning less than one year mathematics less than one year python less than one year matlab less than one year electrical engineering less than one year sql less than one year\"],\n",
" [\"CVRIL2 Python Developer\",\"technical proficiencies platform ubuntu fedora cent os windows database mysql languages python tensorflow numpy c cplusplus education details january two thousand sixteen me computer engineering pune maharashtra savitribai phule pune university january two thousand fourteen be computer engineering pune maharashtra savitribai phule pune university january two thousand ten ryk science college maharashtra state board january two thousand eight maharashtra state board python developer python developer skill details cplusplus experience six months mysql experience six months python experience six months company details company fresher description python programming\"],\n",
" [\"CVRIL3 Sales\",\"education details bachelors bachelors commerce india guru nanak high school sales manager skill details data entry experience less than one year months cold calling experience less than one year months sales experience less than one year months salesforce experience less than one year months ms office experience less than one year months company details company emperor honda description company honda cars india ltd description worked asm maruti dealership ten years currently working manager sales honda car dealership last five years good sportsmen represent college various cricket tournaments lead nagpur university cricket team also searching job car dealership cricket academy\"],\n",
" [\"JDRIL1 IT Project Manager\",\"qualifications minimum one year work experience project manager hold certification related project management professional pmp experience managing agile waterfall methodology projects banking area familiar using scrum method familiar able work collaboration tools monitor report achievement knowledge sdlc methodology knowledge iot technology good analytical thinking problem solving skill attention detail capability project management skill strong communication collaboration skills especially across customer countries good command english spoken written willing travel customer site job description lead manage various company strategic projects banking project implement execute pmbok project management body knowledge includes cost benefits calculations identify manage project risk others perform discipline monitoring achieve challenging targets quality deliveries per milestone monitor bast invoicing achievable per task milestone project manage multiple simultaneous projects indonesia per scope schedule budget followed high level customer satisfaction responsible success project delivery point escalation team customer issues pertaining success project partner customer internal technical teams resolve issue provide reporting management stakeholders project update progress financial perform risk assessment provide feedback potential issues site visit discussion stakeholders BAYU WICAKSONO qualifications minimum one year work experience project manager hold certification related project management professional pmp experience managing agile waterfall methodology projects banking area familiar using scrum method familiar able work collaboration tools monitor report achievement knowledge sdlc methodology knowledge iot technology good analytical thinking problem solving skill attention detail capability project management skill strong communication collaboration skills especially across customer countries good command english spoken written willing travel customer site job description lead manage various company strategic projects banking project implement execute pmbok project management body knowledge includes cost benefits calculations identify manage project risk others perform discipline monitoring achieve challenging targets quality deliveries per milestone monitor bast invoicing achievable per task milestone project manage multiple simultaneous projects indonesia per scope schedule budget followed high level customer satisfaction responsible success project delivery point escalation team customer issues pertaining success project partner customer internal technical teams resolve issue provide reporting management stakeholders project update progress financial perform risk assessment provide feedback potential issues site visit discussion stakeholders\"],\n",
" [\"JDRIL2 Solution Architect - Data/AI\",\"we seeking experienced solution architect lead design implementation innovative data ai solutions role collaborate stakeholders understand business technical requirements architect optimal data ai solutions responsibilities gather business technical requirements stakeholders design end end data ai solutions develop technical architecture including data stack architecture analytics environment ai determine technical feasibility validate designs against requirements select appropriate technologies considering cost scalability ease integration coordinate data scientist data engineer ai engineer etc architect data pipelines analytics architecture machine learning models apply statistical predictive modeling techniques extract insights communicate complex architecture trade offs executives stakeholders stay date technologies trends mining natural resources requirements two years experience solutions architect similar role five years experience data scientist preferable two more data platform project two more ai adoption project gen ai preferable strong statistical modeling machine learning data science skills knowledge data infrastructure pipelines storage visualization ability develop detailed technical requirements business needs excellent communication strategic thinking abilities comfortable explaining complex architectures trade offs bs ms computer science statistics analytics related field\"],\n",
" [\"JDRIL3 Data Science Intern\",\"responsibility collect process analyze large datasets extract meaningful insights trends generate monitoring report needed ensure seamless monitoring reporting cycle work cross functional teams understand data needs provide relevant insights perform data validation ensure data accuracy integrity collaborate it teams ensure availability reliability data creating database schemas represent support business process stay date industry trends best practices data analysis visualization requirement bachelors degree data science reputable university fresh graduate outstanding performance welcome proficiency data analysis tools software sql excel python r similar experience data visualization tools tableau power bi similar strong analytical problem solving skills excellent attention detail accuracy good communication interpersonal skills ability convey complex data insights non technical audiences\"],\n",
" [\"JDRIL4 Sales\",\"Develop and implement marketing plans for each channel which include crafting of content, designing advertisements, and identifying target audiences Monitor competitors' offerings to resolve how they might affect business performance Review competitor's pricing tactics to ensure that we are competitive in the market Work with vendors in making sure products are delivered timely and meet quality standards Orchestrate new programs to drive sales across multiple channels Develop strong and sustainable relationships with key accounts or other distribution channels Run day-to-day operations of a channel, including handling inventory levels, liaising with vendors, and providing customer service to customers Identify new opportunities within a channel that could increase sales through existing customers or help attract new customers to the company's products or services Managing relationships with customers to ensure satisfaction with products and services offered by the company How will you get here? 5+ years of proven experience in business development, distributor partner management, or other customer facing commercial roles Deep understanding of the Laboratory Product market in Indonesia Proficient in English; both verbal and written to communicate with English-speaking business associates Strong communicator, influencing and effective presentation skills Able to collaborate in a matrixed environment working with team with varied strengths Able to travel when needed\"],\n",
" [\"JDRIL5 Data Engineer\",\"about responsibilities role perform data exploration data cleaning data imputation feature engineering unstructured structured data build infrastructure optimal extraction transformation loading etl data wide variety data sources develop maintain optimal data pipeline architecture training statistical machine learning models regression classification develop maintain evaluations measure effectiveness training data includes measuring capabilities models variety tasks domains collaborate data scientists machine learning engineers develop comprehensive data science machine learning solution pipeline requirements need minimum qualifications bachelors degree computer science related fields equivalent software engineering experience proficiency python programming language experience dataset processing feature engineering using tools numpy pandas scikit learn visualization skills using tools matplotlib seaborn bokeh understanding deep learning frameworks pytorch tensorflow understanding sql nosql understands hadoop spark kafka hive presto proficiency source control ie git preferred make stand crowd preferred qualifications deep understanding object oriented programming oop concepts inheritance delegation abstract class understanding cloud native technologies aws gcp azure experience using docker experience using aws services s three ec two glue sagemaker experience aws step function aws lambda better proficiency scala java programming languages enjoy iterating quickly research prototypes learning new technologies\"],\n",
" [\"JDRIL6 FullStack Developer\",\"lead developer fullstack developer using java springboot react job description lead manage team developers providing technical guidance mentorship oversee design development implementation scalable web applications manage prioritize development pipeline monitor evaluate progress implement maintain ci cd pipelines using tools jenkins similar devops tools facilitate agile ceremonies sprint planning daily stand ups retrospectives identify address technical challenges bottlenecks within team resolve incidents ensure system availability within sla conduct code reviews provide constructive feedback team members foster collaborative innovative team environment stay updated emerging technologies industry trends drive continuous improvement education bachelor higher degree computer science related fields experience needed long duration needed experience length service five years professional experience software development least two years leadership role additional expertises need proficiency fullstack development expertise technologies spring boot react js strong understanding restful api design implementation experience databases oracle oracle pl sql familiarity version control systems git ci cd pipelines knowledge agile methodologies practices excellent leadership team management abilities strong problem solving skills attention detail effective communication interpersonal skills ability motivate inspire team members experience cloud services aws azure google cloud knowledge docker container orchestration familiarity project management tools jira confluence\"],\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "NOOY1XeIHmnL"
},
"outputs": [],
"source": [
"for i in data:\n",
" i[1] = preprocessing_data(i[1])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "mxbw94qvveRB"
},
"outputs": [],
"source": [
"model1 = Doc2Vec.load(\"/content/drive/MyDrive/Collab Dataset/final/modelr30knoner.model\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 538
},
"id": "L5hXhHHRL7AH",
"outputId": "c980feda-0a35-45ec-bb46-0d034963843a"
},
"outputs": [
{
"data": {
"application/javascript": "google.colab.output.setIframeHeight(0, true, {maxHeight: 5000})",
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CVGPT1 Data Science === JDRIL1 IT Project Manager: 0.4057\n",
"CVGPT1 Data Science === JDRIL2 Solution Architect - Data/AI: 0.6739\n",
"CVGPT1 Data Science === JDRIL3 Data Science Intern: 0.7815\n",
"CVGPT1 Data Science === JDRIL4 Sales: 0.5866\n",
"CVGPT1 Data Science === JDRIL5 Data Engineer: 0.6753\n",
"CVGPT1 Data Science === JDRIL6 FullStack Developer: 0.3958\n",
"CVGPT4 FullStack Developer === JDRIL1 IT Project Manager: 0.5102\n",
"CVGPT4 FullStack Developer === JDRIL2 Solution Architect - Data/AI: 0.5345\n",
"CVGPT4 FullStack Developer === JDRIL3 Data Science Intern: 0.4320\n",
"CVGPT4 FullStack Developer === JDRIL4 Sales: 0.5158\n",
"CVGPT4 FullStack Developer === JDRIL5 Data Engineer: 0.4891\n",
"CVGPT4 FullStack Developer === JDRIL6 FullStack Developer: 0.7426\n",
"CVRIL1 Data Science === JDRIL1 IT Project Manager: 0.3298\n",
"CVRIL1 Data Science === JDRIL2 Solution Architect - Data/AI: 0.5980\n",
"CVRIL1 Data Science === JDRIL3 Data Science Intern: 0.7626\n",
"CVRIL1 Data Science === JDRIL4 Sales: 0.5190\n",
"CVRIL1 Data Science === JDRIL5 Data Engineer: 0.6502\n",
"CVRIL1 Data Science === JDRIL6 FullStack Developer: 0.3544\n",
"CVRIL2 Python Developer === JDRIL1 IT Project Manager: 0.2727\n",
"CVRIL2 Python Developer === JDRIL2 Solution Architect - Data/AI: 0.2676\n",
"CVRIL2 Python Developer === JDRIL3 Data Science Intern: 0.5701\n",
"CVRIL2 Python Developer === JDRIL4 Sales: 0.2143\n",
"CVRIL2 Python Developer === JDRIL5 Data Engineer: 0.3218\n",
"CVRIL2 Python Developer === JDRIL6 FullStack Developer: 0.3130\n",
"CVRIL3 Sales === JDRIL1 IT Project Manager: 0.6454\n",
"CVRIL3 Sales === JDRIL2 Solution Architect - Data/AI: 0.4620\n",
"CVRIL3 Sales === JDRIL3 Data Science Intern: 0.6011\n",
"CVRIL3 Sales === JDRIL4 Sales: 0.7497\n",
"CVRIL3 Sales === JDRIL5 Data Engineer: 0.4384\n",
"CVRIL3 Sales === JDRIL6 FullStack Developer: 0.4975\n"
]
}
],
"source": [
"# Separate CVs and Job Descriptions\n",
"from IPython.display import Javascript\n",
"display(Javascript('''google.colab.output.setIframeHeight(0, true, {maxHeight: 5000})'''))\n",
"cvs = [item for item in data if item[0].startswith(\"CV\")]\n",
"jobs = [item for item in data if item[0].startswith(\"JD\")]\n",
"\n",
"# Infer vectors for each CV and job description\n",
"cv_vectors = [(cv[0], model1.infer_vector(cv[1].split())) for cv in cvs]\n",
"job_vectors = [(job[0], model1.infer_vector(job[1].split())) for job in jobs]\n",
"\n",
"# Compare each CV with each job description and print the similarity\n",
"for cv_title, cv_vector in cv_vectors:\n",
" for job_title, job_vector in job_vectors:\n",
" similarity = cosine_similarity([cv_vector], [job_vector])[0][0]\n",
" print(f\"{cv_title} === {job_title}: {similarity:.4f}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Kgz-CPyEFcKC"
},
"outputs": [],
"source": [
"model2 = Doc2Vec.load(\"/content/drive/MyDrive/Collab Dataset/final/modelcvhugging.model\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1267
},
"id": "VfVvQFB7FXS9",
"outputId": "af227124-e479-409c-e766-1fba764ec890"
},
"outputs": [
{
"data": {
"application/javascript": "google.colab.output.setIframeHeight(0, true, {maxHeight: 5000})",
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CVGPT1 Data Science === JDGPT1 Data Science Intern: 0.7948\n",
"CVGPT1 Data Science === JDGPT2 FullStack Developer: 0.4378\n",
"CVGPT1 Data Science === JDRIL1 IT Project Manager: 0.4396\n",
"CVGPT1 Data Science === JDRIL2 Solution Architect - Data/AI: 0.7118\n",
"CVGPT1 Data Science === JDRIL3 Data Science Intern: 0.8121\n",
"CVGPT1 Data Science === JDRIL4 Sales: 0.6145\n",
"CVGPT1 Data Science === JDRIL5 Data Engineer: 0.6891\n",
"CVGPT1 Data Science === JDRIL6 FullStack Developer: 0.4497\n",
"CVGPT2 customer service === JDGPT1 Data Science Intern: 0.5876\n",
"CVGPT2 customer service === JDGPT2 FullStack Developer: 0.4712\n",
"CVGPT2 customer service === JDRIL1 IT Project Manager: 0.6013\n",
"CVGPT2 customer service === JDRIL2 Solution Architect - Data/AI: 0.4309\n",
"CVGPT2 customer service === JDRIL3 Data Science Intern: 0.6030\n",
"CVGPT2 customer service === JDRIL4 Sales: 0.7468\n",
"CVGPT2 customer service === JDRIL5 Data Engineer: 0.3375\n",
"CVGPT2 customer service === JDRIL6 FullStack Developer: 0.4931\n",
"CVGPT3 Data Science and customer service === JDGPT1 Data Science Intern: 0.8829\n",
"CVGPT3 Data Science and customer service === JDGPT2 FullStack Developer: 0.5265\n",
"CVGPT3 Data Science and customer service === JDRIL1 IT Project Manager: 0.5964\n",
"CVGPT3 Data Science and customer service === JDRIL2 Solution Architect - Data/AI: 0.7233\n",
"CVGPT3 Data Science and customer service === JDRIL3 Data Science Intern: 0.8746\n",
"CVGPT3 Data Science and customer service === JDRIL4 Sales: 0.6976\n",
"CVGPT3 Data Science and customer service === JDRIL5 Data Engineer: 0.5696\n",
"CVGPT3 Data Science and customer service === JDRIL6 FullStack Developer: 0.5327\n",
"CVGPT4 FullStack Developer === JDGPT1 Data Science Intern: 0.3933\n",
"CVGPT4 FullStack Developer === JDGPT2 FullStack Developer: 0.7233\n",
"CVGPT4 FullStack Developer === JDRIL1 IT Project Manager: 0.5566\n",
"CVGPT4 FullStack Developer === JDRIL2 Solution Architect - Data/AI: 0.5292\n",
"CVGPT4 FullStack Developer === JDRIL3 Data Science Intern: 0.4035\n",
"CVGPT4 FullStack Developer === JDRIL4 Sales: 0.5230\n",
"CVGPT4 FullStack Developer === JDRIL5 Data Engineer: 0.4943\n",
"CVGPT4 FullStack Developer === JDRIL6 FullStack Developer: 0.7499\n",
"CVGPT5 Marketing === JDGPT1 Data Science Intern: 0.7210\n",
"CVGPT5 Marketing === JDGPT2 FullStack Developer: 0.5308\n",
"CVGPT5 Marketing === JDRIL1 IT Project Manager: 0.5732\n",
"CVGPT5 Marketing === JDRIL2 Solution Architect - Data/AI: 0.6312\n",
"CVGPT5 Marketing === JDRIL3 Data Science Intern: 0.7028\n",
"CVGPT5 Marketing === JDRIL4 Sales: 0.8050\n",
"CVGPT5 Marketing === JDRIL5 Data Engineer: 0.4760\n",
"CVGPT5 Marketing === JDRIL6 FullStack Developer: 0.5499\n",
"CVGPT6 Frontend Dev === JDGPT1 Data Science Intern: 0.5961\n",
"CVGPT6 Frontend Dev === JDGPT2 FullStack Developer: 0.6569\n",
"CVGPT6 Frontend Dev === JDRIL1 IT Project Manager: 0.3437\n",
"CVGPT6 Frontend Dev === JDRIL2 Solution Architect - Data/AI: 0.6530\n",
"CVGPT6 Frontend Dev === JDRIL3 Data Science Intern: 0.5988\n",
"CVGPT6 Frontend Dev === JDRIL4 Sales: 0.5537\n",
"CVGPT6 Frontend Dev === JDRIL5 Data Engineer: 0.4440\n",
"CVGPT6 Frontend Dev === JDRIL6 FullStack Developer: 0.6389\n",
"CVRIL1 Data Science === JDGPT1 Data Science Intern: 0.7627\n",
"CVRIL1 Data Science === JDGPT2 FullStack Developer: 0.4129\n",
"CVRIL1 Data Science === JDRIL1 IT Project Manager: 0.2997\n",
"CVRIL1 Data Science === JDRIL2 Solution Architect - Data/AI: 0.6383\n",
"CVRIL1 Data Science === JDRIL3 Data Science Intern: 0.7788\n",
"CVRIL1 Data Science === JDRIL4 Sales: 0.5004\n",
"CVRIL1 Data Science === JDRIL5 Data Engineer: 0.6539\n",
"CVRIL1 Data Science === JDRIL6 FullStack Developer: 0.3913\n",
"CVRIL2 Python Developer === JDGPT1 Data Science Intern: 0.5451\n",
"CVRIL2 Python Developer === JDGPT2 FullStack Developer: 0.3243\n",
"CVRIL2 Python Developer === JDRIL1 IT Project Manager: 0.2963\n",
"CVRIL2 Python Developer === JDRIL2 Solution Architect - Data/AI: 0.2718\n",
"CVRIL2 Python Developer === JDRIL3 Data Science Intern: 0.5720\n",
"CVRIL2 Python Developer === JDRIL4 Sales: 0.2392\n",
"CVRIL2 Python Developer === JDRIL5 Data Engineer: 0.2917\n",
"CVRIL2 Python Developer === JDRIL6 FullStack Developer: 0.3230\n",
"CVRIL3 Sales === JDGPT1 Data Science Intern: 0.5973\n",
"CVRIL3 Sales === JDGPT2 FullStack Developer: 0.4922\n",
"CVRIL3 Sales === JDRIL1 IT Project Manager: 0.6334\n",
"CVRIL3 Sales === JDRIL2 Solution Architect - Data/AI: 0.4624\n",
"CVRIL3 Sales === JDRIL3 Data Science Intern: 0.5858\n",
"CVRIL3 Sales === JDRIL4 Sales: 0.7513\n",
"CVRIL3 Sales === JDRIL5 Data Engineer: 0.4189\n",
"CVRIL3 Sales === JDRIL6 FullStack Developer: 0.4917\n"
]
}
],
"source": [
"# Separate CVs and Job Descriptions\n",
"from IPython.display import Javascript\n",
"display(Javascript('''google.colab.output.setIframeHeight(0, true, {maxHeight: 5000})'''))\n",
"cvs = [item for item in data if item[0].startswith(\"CV\")]\n",
"jobs = [item for item in data if item[0].startswith(\"JD\")]\n",
"\n",
"# Infer vectors for each CV and job description\n",
"cv_vectors = [(cv[0], model1.infer_vector(cv[1].split())) for cv in cvs]\n",
"job_vectors = [(job[0], model1.infer_vector(job[1].split())) for job in jobs]\n",
"\n",
"# Compare each CV with each job description and print the similarity\n",
"for cv_title, cv_vector in cv_vectors:\n",
" for job_title, job_vector in job_vectors:\n",
" similarity = cosine_similarity([cv_vector], [job_vector])[0][0]\n",
" print(f\"{cv_title} === {job_title}: {similarity:.4f}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Gd2SBsHOFntb"
},
"outputs": [],
"source": [
"model3 = Doc2Vec.load(\"/content/drive/MyDrive/Collab Dataset/final/modelcvhuggingcombineall.model\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1267
},
"id": "qul7tJTMFntc",
"outputId": "cf09ccb7-f0bc-4e47-bc97-b684296a68e8"
},
"outputs": [
{
"data": {
"application/javascript": "google.colab.output.setIframeHeight(0, true, {maxHeight: 5000})",
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CVGPT1 Data Science === JDGPT1 Data Science Intern: 0.7754\n",
"CVGPT1 Data Science === JDGPT2 FullStack Developer: 0.4125\n",
"CVGPT1 Data Science === JDRIL1 IT Project Manager: 0.4177\n",
"CVGPT1 Data Science === JDRIL2 Solution Architect - Data/AI: 0.6822\n",
"CVGPT1 Data Science === JDRIL3 Data Science Intern: 0.7674\n",
"CVGPT1 Data Science === JDRIL4 Sales: 0.5749\n",
"CVGPT1 Data Science === JDRIL5 Data Engineer: 0.6609\n",
"CVGPT1 Data Science === JDRIL6 FullStack Developer: 0.4138\n",
"CVGPT2 customer service === JDGPT1 Data Science Intern: 0.6230\n",
"CVGPT2 customer service === JDGPT2 FullStack Developer: 0.4880\n",
"CVGPT2 customer service === JDRIL1 IT Project Manager: 0.6054\n",
"CVGPT2 customer service === JDRIL2 Solution Architect - Data/AI: 0.4401\n",
"CVGPT2 customer service === JDRIL3 Data Science Intern: 0.6074\n",
"CVGPT2 customer service === JDRIL4 Sales: 0.7612\n",
"CVGPT2 customer service === JDRIL5 Data Engineer: 0.3427\n",
"CVGPT2 customer service === JDRIL6 FullStack Developer: 0.4863\n",
"CVGPT3 Data Science and customer service === JDGPT1 Data Science Intern: 0.8740\n",
"CVGPT3 Data Science and customer service === JDGPT2 FullStack Developer: 0.5364\n",
"CVGPT3 Data Science and customer service === JDRIL1 IT Project Manager: 0.6171\n",
"CVGPT3 Data Science and customer service === JDRIL2 Solution Architect - Data/AI: 0.7051\n",
"CVGPT3 Data Science and customer service === JDRIL3 Data Science Intern: 0.8683\n",
"CVGPT3 Data Science and customer service === JDRIL4 Sales: 0.6984\n",
"CVGPT3 Data Science and customer service === JDRIL5 Data Engineer: 0.5601\n",
"CVGPT3 Data Science and customer service === JDRIL6 FullStack Developer: 0.5447\n",
"CVGPT4 FullStack Developer === JDGPT1 Data Science Intern: 0.4067\n",
"CVGPT4 FullStack Developer === JDGPT2 FullStack Developer: 0.7632\n",
"CVGPT4 FullStack Developer === JDRIL1 IT Project Manager: 0.5659\n",
"CVGPT4 FullStack Developer === JDRIL2 Solution Architect - Data/AI: 0.5603\n",
"CVGPT4 FullStack Developer === JDRIL3 Data Science Intern: 0.4612\n",
"CVGPT4 FullStack Developer === JDRIL4 Sales: 0.5562\n",
"CVGPT4 FullStack Developer === JDRIL5 Data Engineer: 0.5162\n",
"CVGPT4 FullStack Developer === JDRIL6 FullStack Developer: 0.7409\n",
"CVGPT5 Marketing === JDGPT1 Data Science Intern: 0.7333\n",
"CVGPT5 Marketing === JDGPT2 FullStack Developer: 0.5400\n",
"CVGPT5 Marketing === JDRIL1 IT Project Manager: 0.5817\n",
"CVGPT5 Marketing === JDRIL2 Solution Architect - Data/AI: 0.6294\n",
"CVGPT5 Marketing === JDRIL3 Data Science Intern: 0.7190\n",
"CVGPT5 Marketing === JDRIL4 Sales: 0.8181\n",
"CVGPT5 Marketing === JDRIL5 Data Engineer: 0.4888\n",
"CVGPT5 Marketing === JDRIL6 FullStack Developer: 0.5438\n",
"CVGPT6 Frontend Dev === JDGPT1 Data Science Intern: 0.5406\n",
"CVGPT6 Frontend Dev === JDGPT2 FullStack Developer: 0.6472\n",
"CVGPT6 Frontend Dev === JDRIL1 IT Project Manager: 0.3525\n",
"CVGPT6 Frontend Dev === JDRIL2 Solution Architect - Data/AI: 0.6348\n",
"CVGPT6 Frontend Dev === JDRIL3 Data Science Intern: 0.5761\n",
"CVGPT6 Frontend Dev === JDRIL4 Sales: 0.5345\n",
"CVGPT6 Frontend Dev === JDRIL5 Data Engineer: 0.4384\n",
"CVGPT6 Frontend Dev === JDRIL6 FullStack Developer: 0.6405\n",
"CVRIL1 Data Science === JDGPT1 Data Science Intern: 0.7552\n",
"CVRIL1 Data Science === JDGPT2 FullStack Developer: 0.3798\n",
"CVRIL1 Data Science === JDRIL1 IT Project Manager: 0.3225\n",
"CVRIL1 Data Science === JDRIL2 Solution Architect - Data/AI: 0.6022\n",
"CVRIL1 Data Science === JDRIL3 Data Science Intern: 0.7722\n",
"CVRIL1 Data Science === JDRIL4 Sales: 0.5011\n",
"CVRIL1 Data Science === JDRIL5 Data Engineer: 0.6223\n",
"CVRIL1 Data Science === JDRIL6 FullStack Developer: 0.3609\n",
"CVRIL2 Python Developer === JDGPT1 Data Science Intern: 0.5330\n",
"CVRIL2 Python Developer === JDGPT2 FullStack Developer: 0.3394\n",
"CVRIL2 Python Developer === JDRIL1 IT Project Manager: 0.3078\n",
"CVRIL2 Python Developer === JDRIL2 Solution Architect - Data/AI: 0.2656\n",
"CVRIL2 Python Developer === JDRIL3 Data Science Intern: 0.5357\n",
"CVRIL2 Python Developer === JDRIL4 Sales: 0.2371\n",
"CVRIL2 Python Developer === JDRIL5 Data Engineer: 0.2795\n",
"CVRIL2 Python Developer === JDRIL6 FullStack Developer: 0.3360\n",
"CVRIL3 Sales === JDGPT1 Data Science Intern: 0.6265\n",
"CVRIL3 Sales === JDGPT2 FullStack Developer: 0.5178\n",
"CVRIL3 Sales === JDRIL1 IT Project Manager: 0.6316\n",
"CVRIL3 Sales === JDRIL2 Solution Architect - Data/AI: 0.4750\n",
"CVRIL3 Sales === JDRIL3 Data Science Intern: 0.6201\n",
"CVRIL3 Sales === JDRIL4 Sales: 0.7443\n",
"CVRIL3 Sales === JDRIL5 Data Engineer: 0.4301\n",
"CVRIL3 Sales === JDRIL6 FullStack Developer: 0.5055\n"
]
}
],
"source": [
"# Separate CVs and Job Descriptions\n",
"from IPython.display import Javascript\n",
"display(Javascript('''google.colab.output.setIframeHeight(0, true, {maxHeight: 5000})'''))\n",
"cvs = [item for item in data if item[0].startswith(\"CV\")]\n",
"jobs = [item for item in data if item[0].startswith(\"JD\")]\n",
"\n",
"# Infer vectors for each CV and job description\n",
"cv_vectors = [(cv[0], model1.infer_vector(cv[1].split())) for cv in cvs]\n",
"job_vectors = [(job[0], model1.infer_vector(job[1].split())) for job in jobs]\n",
"\n",
"# Compare each CV with each job description and print the similarity\n",
"for cv_title, cv_vector in cv_vectors:\n",
" for job_title, job_vector in job_vectors:\n",
" similarity = cosine_similarity([cv_vector], [job_vector])[0][0]\n",
" print(f\"{cv_title} === {job_title}: {similarity:.4f}\")"
]
}
],
"metadata": {
"colab": {
"include_colab_link": true,
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
|