Built a 2,000+ record dataset combining Wikipedia, Spotify, and Last.fm with fuzzy matching across 50+ years of chart data. Modeled reappearance using logistic regression at 95% classification accuracy.
Built a 2,000+ record dataset combining Wikipedia, Spotify, and Last.fm with fuzzy matching across 50+ years of chart data. Modeled reappearance using logistic regression at 95% classification accuracy.
Detailed write-up coming soon. This is the dynamic scaffold ported fromcase-study.htmlwith project-specific copy hydrated from portfolioData.ts.
Built a 2,000+ record dataset combining Wikipedia, Spotify, and Last.fm with fuzzy matching across 50+ years of chart data. Modeled reappearance using logistic regression at 95% classification accuracy.
95% accuracy · Role: Data + Modeling · Team: Solo.