Data Scientist · Ex-Deloitte · New York
I build end-to-end data projects — from sourcing and cleaning through modeling and interpretation. My work sits at the intersection of applied analytics, time series, and machine learning, with a particular interest in financial and economic data.
| Project | What It Does | Stack |
|---|---|---|
| CFTC COT — Gold Futures | Pulls CFTC Commitments of Traders data via API, computes net positioning by trader class, and visualizes speculative crowding in Gold futures | Python · Socrata API · Pandas · Matplotlib |
| Forecasting U.S. Jobless Claims | Time series analysis and forecasting of weekly initial unemployment claims using classical and statistical methods | Python · Time Series · Forecasting |
| Clustering Chess Expertise | Unsupervised learning to identify player skill clusters from chess game data using K-Means and related techniques | Python · Scikit-learn · Clustering |
Languages: Python, SQL, R, SAS
Data & Analysis: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
Methods: Regression, Classification, Clustering, Time Series (ARIMA, Prophet), A/B Testing
Infrastructure: Git, Jupyter, Conda, APIs (REST/JSON)
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