RAJAT SHARMA

ML Based Lead Scoring/Prioritization Project: Working on real-time ML based Lead Prioritization and Ranking for Large B2B Business, to find out right set of sales opportunities, that can generate greater revenues for a company. Build End-to-End Data orchestrations and Machine Learning Pipeline to Extract, Load, Process Data and Train ML model using Azure Synapse, Azure Data Bricks and Azure Machine Learning Studio. Performed Extensive Exploratory Data Analysis on Big Data using Azure Synapse & PySpark to generates useful insights for Business. Applied Natural Language Processing techniques like POS tagging and Topic Modelling etc., to extract sentiments and summarize the feedback forms and then used BERT to classify the forms into multiple classes, to get overall essence of the feedback to enhance coaching of sales reps.

Recommendation System: Created a Recommendation System using Collaborative Filtering and Collective Matrix Factorization Technique for Stocks and ETFs recommendation based on client’s details and risk appetite, also have solved cold start recommendation problem. Gaussian Predictive Modeling Build Gaussian Predictive Modeling for sales lead prioritization and ranking, for better reach to leads that has potential to convert as sales opportunity.

Worked on Natural Language Processing Tasks and Sentiment Analysis of the News Articles, extracted from various news websites by web crawler. Google Analytics data extraction and analysis by making crawler.

Teaching Assistance of Design of Software Systems Lab: Mentored undergraduate students in Software Systems Design Lab.