I'm a Seattle-based data analyst. Day to day, I untangle messy tracking data, build internal dashboards, and write automated Python scripts so teammates do not have to copy-paste spreadsheet columns manually.
Outside work hours, I use this space to test new analytical libraries, parse weird public datasets, and practice writing cleaner, faster SQL queries.
- Migrating legacy multi-step Pandas pipelines to DuckDB for better memory efficiency.
- Writing lightweight CLI scripts to parse and validate open-source transit datasets.
- Getting better at writing clean data tests.
- Languages & Analysis: Python, SQL (Postgres/DuckDB), Pandas, NumPy
- Dev Environment: JupyterLab, VS Code, Git/GitHub, bash
- Visualization: Matplotlib, Seaborn
- Found an issue in a repo? Feel free to open an issue or PR.
- Say hi on LinkedIn or drop an email via my profile.