Experience

Boston University, Department of Computer Science

Oct 2024 - Present

Research Assistant

Boston, MA

  • Developed and back-tested proprietary trading strategies comparing Mean Absolute Deviation (MAD) vs. Markowitz mean-variance optimization across 9 sector ETFs, implementing risk-constrained portfolio construction and rebalancing algorithms with associated performance analytics including Sharpe ratios, MDD, and transaction cost analysis for alpha generation.
  • Conducted research on momentum-based trading strategies in crude oil ETFs and futures, developing long-short models yielding up to 19.9% annualized returns over an 18-year testing period. Published in Stocks & Commodities Magazine (September 2025).
  • Developed a strategy leveraging overnight silver returns to predict Bitcoin price movements, exhibiting lower drawdowns in a 10-year backtest. Published in Stocks & Commodities Magazine (June 2025).
  • Developed probabilistic framework to reduce computational overhead in model fine-tuning, using various distributions to estimate Random Forest performance, achieving less than 3% relative error size across varying configurations. Published as 'Estimating the Accuracy of a Bagged Ensemble' (DOI:10.5121/mlaij.2025.12106).

Skills: Python, scikit-learn, Pandas, NumPy, PyTorch, TensorFlow, R, SQL, Git, Back-testing, Research

Raising A Mathematician Foundation

Jul 2024 - Aug 2024

Program Operations Intern

Mumbai, India

  • Spearheaded the Maths Circle Initiative by RAM Foundation in India, leading a team of five overlooking data-driven business expansion and leveraging analysis of applicant data to identify high-potential markets for educational programs.
  • Implemented project management infrastructure using Jira, Confluence, and Slack to streamline task tracking, documentation, and communication between cross-functional teams.

Skills: Python, Microsoft Office (Excel, Word, PowerPoint), Jira, Confluence, Leadership

Fino Payments Bank

May 2023 - Jul 2023

Data Science Intern

Mumbai, India

  • Built a database of 6,000+ government-sponsored financial schemes, leveraging PySpark and pattern recognition on customer-level transaction data, to generate analytical insights and presented a revenue growth strategy that could 2x revenue.

Skills: Python (PySpark), R, SQL, Microsoft Office (Advanced Excel & VBA, Word, PowerPoint), Stakeholder Communication

Greater Mumbai Science Teachers' Association

May 2023 - Jul 2023

Mathematics & Physics Teacher

Mumbai, India

  • Helped students prepare for the various stages leading up to the International Junior Science Olympiad.

Skills: Quantitative Reasoning, Data Interpretation, Scientific Communication, Leadership and Mentorship