Working as a Data Scientist at Tata Steel Automation R&D

-Was part of PM Modi central analytics team and heading development of AI powered solutions for 2019 Indian General Election -AI/ML SME for designing & Implementation of ML(Text Mining & NLP) based microtargeting strategy for PM Modi grassroot outreach program to the potential voters for Indian General Elections 2019 & Maharashtra Assembly Elections 2019 with ~75% accuracy in prediction.-Implemented STT applications that extracted, cleaned & analyzed unstructured demo data, which was used to build narratives during election campaigns targeting different segments.

•Developed a product/framework using Machine learning (Supervised and Unsupervised) to prioritize villages and towns in India, to help organizations build strategy for future business objectives. Solving business problem of identifying most important independent business drivers, which in turn will lead to development of output indices.•Development of strategy using Machine Learning Market Basket Analysis for manufacturers on retail level transaction data, for better inventory management and venturing into new product development. Using Machine learning to mainly address two issues, (a.) To identify the most important & interesting association rules out of large number of association rules given by MBA. (b.) To develop framework for association rule mining of infrequent items.

1. Delivered quality stress dossiers and analysis templates for Aircraft certification (Central Wing Box)2. Spearheaded Stress analysis for different loads on Airbus A350 CWB.3. Developed FE models and their validation reports for aircraft structures and Gas Turbines.4. Optimized manual templates to automation thus reducing the overall project execution time5. Developed BoK on "Modelling with CATIA for Compressor Blades" to be used by the team for learning and development activities.6. Helped Infosys get project from client through business POC for client identification.