- Minimising transaction costs in trading by implementing models to capture price impact and execution costs in equities and options.- Utilising a machine learning framework to optimize trade execution strategies.

-Developed an instrument analysis pipeline using .NET and C#, calculating correlation, beta, ADF statistics, and DCW values for pairs of energy Future Contracts.-Implemented an Autospreader on the Trading Technologies (TT) platform, optimizing trading strategies for energy commodity pairs based on quantitative analysis.-Automated trade execution with a Rangetrader Algorithm on the TT platform, monitoring and managing trades over a two-day period to ensure optimal performance.

-Developed trading algorithms (alphas) using a quantitative approach, targeting market inefficiencies across US Equity, China, Europe, Hong Kong, and Asia markets. Analyzed BARRA risk factors using ADF, PCA, & assessed factor exposure in Alpha & SuperAlpha level.-Utilized options and fundamental datasets with Brain API and machine learning techniques to generate alphas.-Backtested strategies on 10-year US market data, computing metrics such as Sharpe ratio, Turnover, Returns, and… Show more -Developed trading algorithms (alphas) using a quantitative approach, targeting market inefficiencies across US Equity, China, Europe, Hong Kong, and Asia markets. Analyzed BARRA risk factors using ADF, PCA, & assessed factor exposure in Alpha & SuperAlpha level.-Utilized options and fundamental datasets with Brain API and machine learning techniques to generate alphas.-Backtested strategies on 10-year US market data, computing metrics such as Sharpe ratio, Turnover, Returns, and Correlation with other alphas. Show less

- Contributing in the Creation of WAGMI: A Student-Led Web 3.0 Community.- Collaborating with Mudrex and conducting various events focused on Web 3.0 to boost interest among IIT Guwahati students.