Job Search & Talent Matching System: Efficient Job Search, Talent Matching, and Resume Parsing with NLP- This project aimed to create a comprehensive NLP-based system that streamlined the job search, job recommendation, talent search, and talent recommendation processes by leveraging natural language processing techniques.Smart Defect Recommendation- Created the deep learning model as well as the API integration for a recommendation engine to recognize the similarity between a new defect entered by the users and the database of previous entries.Demand Forecasting for a UAE retail chain-Developed a hybrid forecasting method combining Recurrent Neural Networks and Regression-basedMachine Learning to make more accurate forecasts in their sales while improving upon traditional time-series forecasting.

Market Mix Modeling for a US Pharmaceutical Company-Conducted Regression Analysis to discover the optimal mix of product, price, place, and promotion toidentify best-performing promotionsSequencing Analytics for US Pharmaceutical Company-Identified best-performing tactic sequences using advanced machine learning and text-mining algorithms to recommend optimal promotional cadence, and time gap to achieve maximum engagementOrchestration Engine for US Pharmaceutical Company-Implemented the analytics behind a Veeva-based platform engine that gives live suggestions to the sales force representatives based on historical data and market behaviour for a Health Care Professional (HCP)

Entry level Data Scientist with Deep Learning as the primary field of interest, specialising in data analysis, data visualisation and predictive analysis. Currently, I am pursuing a Master's in Computer Application from Vellore Institute of Technology. I want to move forward into the field of Artificial Intelligence and learn its implementation in the Computer Gaming industry.