• Analyzed diamond prices, pharma, and heart disease datasets through EDA with Pandas, Seaborn, and Matplotlib to identify trends.

• Performed data preprocessing and trained models (RandomForest, KMeans) for classification and regression, optimizing accuracy with statistical methods.

• Evaluated models using permutation feature importance and RMSE.