Interactive Streamlit dashboard that transforms a prepared listening-history dataset into rich insights: genres, mood/energy trends, discovery habits, device mix, streaks, artist comebacks, and ML-powered 7-day forecasts with confidence bands for platform share, trained offline and visualized directly in the app.

An analytical look into the music featured in the Billboard Top 100 in recent decades. This ETL uses APIs and AI, written in Python and SQL on Databricks, to enrich a Kaggle dataset.