I uncover insights in data and transform them into actionable stories using data science and software engineering.
Real-time, single-run intraday backtest that builds the first 15-minute range from SPY quotes, then momentum trades the breakout.
Pipeline using Charles Schwab API, MySQL (stored procedures), and Python on Linux (crontab) to compute and visualize SPY put/call ratios with Jupyter, Plotly, and pandas; exploring ML with scikit-learn.
Descriptive statistics and visualizations of Atlanta Braves pitching tendencies in 2025 using StatCast data, Python, and Jupyter notebooks.
.NET 9 Blazor app with a custom Bootstrap theme, Markdown-powered content, hosted on DigitalOcean; project images on Azure Blob Storage; efficient background image; CI/CD via GitHub Actions.