Data-Driven Song Analysis: Explored Spotify datasets to uncover key attributes influencing song popularity, including danceability, energy, and release trends.

Predictive Modeling: Developed machine learning models (RandomForest, LightGBM) to forecast song success and estimate potential revenue impact.

Strategic Recommendations: Provided data-backed strategies for optimizing music promotion, targeting high-engagement segments for better ROI.