End-to-end customer churn prediction system using Machine Learning. Includes EDA, data preprocessing, class imbalance handling with SMOTE, model training using Random Forest and XGBoost, performance evaluation, feature importance analysis, and optional inference for new customers. Built as part of a CodeChef club recruitment task.