Computer Science @ Elmhurst University
Building ML pipelines and predictive models while playing NCAA Division III basketball. Founder of SohAI. Passionate about quantitative research, sports analytics, and automation.
Featured Articles & Recognition
Read about my journey as a student-athlete combining data science with Division III basketball.
Read Full Article →ML, Data Science, Sports Analytics & Automation
A real-time tool that identifies players on the floor and pulls their free throw data to guide fouling strategy. This project earned a 20K scholarship and reflects my focus on practical solutions that combine analytics, game feel, and implementation detail.
Built leak-free ML pipeline predicting NBA outcomes using 33 market-based features from Vegas odds and betting data. Achieved 72% accuracy with properly calibrated probabilities. Deployed prediction API using FastAPI and Docker.
Built microstructure-inspired simulation modeling human attention as a financial market with dopamine spikes as volatility shocks. Trained ML models for regime classification and direction forecasting using 15+ engineered features including order flow imbalance, liquidity metrics, and rolling volatility.
Modeled relativistic time dilation across 48,000 cities using gravitational and rotational physics equations. Built interactive Streamlit visualization app with neural network approximations and LLM-generated explanations to make complex physics concepts accessible.
Founded AI automation consultancy generating $750/month recurring revenue. Built Python-based ETL pipelines and web scraping workflows extracting 300+ verified leads. Engineered automated outreach systems integrating ChatGPT API, Bland.ai, LangChain, and n8n workflows.
Building products, analyzing data, and creating value
Tools & Technologies I Work With
Interested in data science, sports analytics, or AI automation? Looking for quantitative research interns? Let's talk!