Sep 2026 – Present

Priced Right?

• Built Python scraping, data collection and pandas preprocessing for a second-hand iPhone asking-price project, collecting 2,178 Tori.fi listings and cleaning 2,007 for analysis.
• Developed a scikit-learn Ridge regression pipeline with TF-IDF and tabular features; achieved RMSLE of 0.262 versus 0.367 for a model-and-storage median baseline using five-fold grouped cross-validation.
• Set up CI with ruff and pytest on GitHub Actions and a pull-request workflow for a three-person team.