Built a churn prediction pipeline with SMOTE, hyperparameter tuning and K-Means segmentation. Deployed SHAP-explainable insights via a Streamlit dashboard with Docker containerization, achieved 87% recall. Applied Kaplan-Meier survival analysis to estimate churn timelines across 4 high-risk customer cohorts.