•Developed a RESTful web application using Django which hosts all the quant tools used by the team
•Designed and implemented a tool that evaluates and predicts the sentiment of the financial markets using a proprietary algorithm and optimized using ML algorithms – dimensionality reduction on 120 factors and logistic regression
•Programmed a Stock Grid tool which compares relative performance of stocks against indices to suggest which stocks to buy at what time of a crisis. This tool helped the company profit ~ $200,000 during the COVID-19 pandemic
•Performed back-test and performance analysis to improve accuracy by 20-85% across 7 tools I developed
•Help recruit and lead a team of 3 people who helped develop more quant tools and implement the tools I built on the cutting-edge mobile application - Prabhudas Lilladher App. Increased usage by 18% and downloads by 34% in 3 months.