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Siddharth Koduri's Projects

python-wordsegment icon python-wordsegment

English word segmentation, written in pure-Python, and based on a trillion-word corpus.

pythonscripts icon pythonscripts

Python scripts to automate various tasks. Details are in Readme

resume-job-description-matching icon resume-job-description-matching

The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universal score which can help the applicant understand the current status of the match. The following steps were undertaken for this project 1) Job Descriptions were collected from Glass Door Web Site using Selenium as other scrappers failed 2) PDF resume parsing using PDF Miner 3) Creating a vector representation of each Job Description - Used word2Vec to create the vector in 300-dimensional vector space with each document represented as a list of word vectors 4) Given each word its required weights to counter few Job Description specific words to be dealt with - Used TFIDF score to get the word weights. 5) Important skill related words were given higher weights and overall mean of each Job description was obtained using the product for word vector and its TFIDF scores 6) Cosine Similarity was used get the similarities of the Job Description and the Resume 7) Various Natural Language Processing Techniques were identified to suggest on the improvements in the resume that could help increase the match score

resume-parser icon resume-parser

A simple resume parser used for extracting information from resumes using NLP

resume-parser-1 icon resume-parser-1

Code to parse information such as Name, Email, Phone Number, Skill sets and Technologies from a given resume

resume-rater icon resume-rater

Rates the quality of a candidate based on his/her resume using unsupervised approaches

resume-scoring-using-nlp icon resume-scoring-using-nlp

The objective of the project is to create a Resume Scoring algorithm using Natural Language Processing. The algorithm will parse resumes one by one and will create a Candidate Profile based on the skills mentioned in the resume. A corpus is created using Sketch Engine, Wikipedia pages for various required skills (example : Machine Learning, Data Science, Software developer, Programming) are given as input, Sketch Engine creates a corpus from the useful data available on the given links. Word Embeddings are created from the corpus and these are used to match the skills in the candidate resume with the required skills. Finally, the candidate profile is built and plotted as a bar graph for better visualization.

resumedataextraction icon resumedataextraction

This tool is created for fetching the information from different format of CV such as Name, Email-id, Address, Experience, Education, Mobile Number, Hobbies, Passport Number etc. This tool is made using python using NLP(Natural Language Processing).

resumeparser icon resumeparser

A framework to parse resumes, extract contact & other information, and check for required terms

same-resume-year-wise icon same-resume-year-wise

This is same resume for data scientist year wise so that everyone can prepare there own resume with this reference

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