Vaibhav Gaur

Senior Software Engineer

coforge•  July 2019 - Present

• Predicting the Candidate Health Score – Generating the score of the candidate based on its attendance, number of hours of study, scores in different test etc. Which is further used to provide the feedback to the candidate and concerned consultant in (Lee Hecht Harrison (LHH). Skills and Tools: Regression, Clustering, Random Forests, Decision Trees, SVM, Deep Neural Networks(DNN), XGBoost • Candidate Churn and Enrollment Prediction: Predicting the number of candidates going to enroll and churn in the next month from US, France and Canada, and rest of the world on the basis of previous patterns. Skills and Tools: Hypothesis Testing, Clustering, Regression, Decision Trees, Random Forests, GaussianNB, Bagging, XGBoost • Mask Detection: Classify an image containing the Face with Mask and without mask during the covid. Skills and Tools: CNN, Computer Vision, Augmentation, Classification, Transfer Learning • Indian Traffic Signs Recognition: Multi class classification of the signs in India Traffic System. With more than 30 signs and more than 50000 images to predict the sign names. Skills and Tools: CNN, Computer Vision, Classification, Augmentation, Image Recognition • Autogenerate the reply to the ISAAC tickets: Generation of reply to customers on the basis of previous replies by the tech support team. This helped the team more similar type of replies and increase the speed of team. Skills and Tools: Seq2Seq Model, LSTM, RNN, GRU, Word Embedding, Attention, Part-of-Speech Tagging, Named Entity Recognition (NER), Bidirectional (Stacked) LSTM, Text Summarization • Search Engine: Search the website for getting the proper content of the website. Skills and Tools: Web Scrapping, Embedding, RNN, Attention, Part-of-Speech Tagging, LSTM, Transformers, BERT

Software Engineer

Raxon Technologies Limited•  October 2017 - July 2019

• Program Recommendation Engine: Based on the candidate resume features and programs available, one was provided with the best (Top 5) programs available in the LHH program list. Skills and Tools: Popularity, Collaborative Based (User-User, Item-Item), Content Based, SVD. • Software Defect Predictor: Deployed End-to-End model to predict the failed number of test cases in next regression cycle of the project. Skills and Tools: Text Similarity, Part-of-Speech Tagging, Named Entity Recognition (NER) • Technical Analysis of ISAAC tickets for faster resolution: All the tickets by the customers are analyzed to improve customer experience. On the basis of number of cases for each ticket, average pending calls, average resolution time, recurrence frequency, enrolled, consultant assigned etc., tickets were clustered into three categories (manual is provided to basic ones, training for technical support team for second type and a consultant is assigned to harder ones). Skills and Tools: PCA, Clustering, Data Visualization, NLP • Sentiment Analysis on ISSAC Tickets: Checking the sentiments of the customers on each ticket resolution and aggregating them month wise for better customer satisfaction and improvement of the technical team in better resolution of tickets. Skills and Tools: Word2Vec, Glove, CNN, text processing, Part-of-Speech Tagging, Named Entity Recognition (NER), Transformers, BERT

Software Engineer

IDC Technologies Limited•  November 2015 - September 2017

• Monitoring of the Virtual Machines: Monitoring of infra with around 750+ physical servers, 380 ESXi servers and more than 3000 virtual machines with help of VROPs, SCOM and Omnibus for sending alerts to the users. Creation of dashboards with the help of metrices and super metrices in VROPs for different purposes.

University of Texas at Austin, Austin

Post Graduate Program in Artificial Intellegence and Machine Learning, Master•  December 2019 - June 2021

https://eportfolio.mygreatlearning.com/vaibhav-gaur