* Researching, building and deploying state-of-the-art machine learning and deep learning based systems to predict cracking and general corrosion mechanism in downhole tubular and casing alloys. * Developing industry standard AI powered predictive maintenance systems for electric charge stations, compressors and control values using ML based anomaly detection techniques.* Forecasting working capital requirements for non operated ventures and joint ventures* Contributing to AI Engineering Center of Excellence (CoE) and python coding best practices

* Research, build and deploy high frequency trading algorithms for cryptocurrency trading in python* Applying quantitative techniques involving time series modelling, machine learning and deep learning techniques to explore trading opportunities viz. statistical arbitrage, electronic liquidity provision (ELP), market making and high quality alpha signals

- Provided data driven business solutions for a mobile app "LADOO".- Analyzed customer behavior with respect to referral scheme and suggested an optimal referralreward for new app installations.- Predicted number of new app installations using regression analysis- Identified data requirements for building better statistical models to analyze customer behavior with respect to retention.

Part of the research team that created a report titled "Industrial Development of Tamil Nadu -Way Forward: a Perspective for New Government", which was presented to the Chief Minister ofTamil Nadu. The report involves industry analysis of 19 sectors of TN, interaction with CEOs fromevery sector to identify key existing challenges and a list of suggestions to resolve them.

Developed automated trading strategies using technical indicators for trading in MCX commodity futures such as Gold, Silver and Crude oil.

Domain - Retail (Client: Target Corporation - USA)Project - Technology Migration from ATG framework to open source Spring framework for Technology Life cycle Management (TLM)