Built a machine learning model to predict used car prices in the Indian market, achieving 65.59% R² score using XGBoost with Optuna hyperparameter tuning and SHAP explainability. Engineered 12 advanced features and compared 4 ensemble algorithms (XGBoost, CatBoost, LightGBM, RandomForest) on a cleaned dataset of 3,577 vehicles.