- Developed parts of Arbitragelab and Mlfinlab python packages.- Researched and developed interactive spreadsheets for pairs trading research. (Dash web app)- Optimized the following algorithms in MlFinlab: Fractional differencing, CUSUM filter, Meta-labelling- Directly reworked the Mlfinlab documentation.- Researched and developed tools related to Market Microstructures and HFT markets.- Created a series of lectures on the following topics: Data structures, Labelling, Sequential Bootstrap, Shapley Values, Backtesting protocols.- Directly supervised junior quant developing the Volatility Estimators module.

- Developed parts of the Arbitragelab and MlFinlab packages.- Worked with optimal stopping problems in pairs trading.- Spoke at Thalesians, University of Washington, H&T Workshop

- Developed the regex-based Excel automatic product mapping system for cross-country reporting comparison.- Standardized the existing products into a robust hierarchy.

- Developed a model for purchase prediction for Everad CRM tool. OOS accuracy - 83%.- Completed Data Science and Machine Learning courses upskilling (Coursera Machine Learning specialization and Internal materials).