CS & Economics @ UIUC | Quantitative Research | Machine Learning for Finance
- Undergraduate at the University of Illinois Urbana-Champaign (GPA: 4.0/4.0)
- Seeking 2026 Summer opportunities in Quantitative Research & Trading
- Passionate about applying ML/AI to financial markets
| Project | Description | Tech |
|---|---|---|
| Clawdfolio | AI-powered portfolio monitoring with risk analytics (VaR, Sharpe, Beta) | Python, pandas |
| ESG Stock Prediction | ML model for stock value prediction using ESG factors | Python, scikit-learn |
| Crypto Return Prediction | 24-hour crypto return prediction with LightGBM | Python, LightGBM |
| Investment Dashboard | Real-time portfolio tracking and risk assessment | TypeScript, React |
Languages: Python, TypeScript, SQL, R ML/Data: pandas, NumPy, scikit-learn, LightGBM, TensorFlow Finance: Risk Analytics, Factor Models, Time Series, Technical Analysis Tools: Git, Docker, Streamlit, React
