"In chess and markets alike, the best move is often the one that creates the most possibilities."
I specialize in algorithmic trading, stochastic modeling, behavioral finance, and machine learning. I transform complex market data into alpha-generating strategies and uncover actionable insights in financial markets. My approach combines mathematical rigor with cutting-edge ML techniques to build robust, data-driven trading systems.
Full-time opportunities in Quantitative Research and Data Science at algorithmic trading firms, market makers, or hedge funds.
- MSc Financial Engineering - WorldQuant University (In Progress, GPA: 4.0)
- Certificate in Quantitative Finance (CQF) - CQF Institute (In Progress)
- MS Applied Data Science - University of Chicago (GPA: 3.98, Summa Cum Laude)
- BS Mathematics - UMass Amherst (GPA: 3.66, Magna Cum Laude)
- 💹 Algorithmic Trading for Reversion and Trend-Following
- 🧠 ZenAI - Conversational AI Therapist
- 🏦 AI/ML in Financial Services
- 📈 Real-Time Trading Bot
- 📉 Carbon Emission Policy Analysis
- 🤖 AI’s Impact on Industries and Occupations
- ♞ Chess Positions Classifier
- 📚 Learning Equality – Curriculum Recommendations
- 🔍 Nifty100 Next-Day Price Predictor
- 💲 Foundations in Financial Engineering
- 🔎 Deep Learning for Computer Vision
- 🔬 Google Data Analytics
- 🧩 AWS Generative AI
- 🔷 Microsoft Azure Fundamentals (AZ-900)
- 🧮 Passed multiple Actuarial exams