Customer Analytics — Churn, CLV & Segmentation
Three ML-driven marketing projects in one notebook — telco churn classification, customer lifetime value regression, and RFM-based customer segmentation.
ML
Housing Price Analysis — Regression, Explainability, and Unsupervised Learning
A two-part project on the Ames Housing dataset covering data prep, Ridge/Random Forest/KNN modeling, SHAP/PDP explainability, PCA/t-SNE, and Gaussian mixture clustering.
Heart Disease MLOps — MLflow + Streamlit Deployment
A full MLOps cycle — dataset → MLflow-tracked experiments → production registry → Streamlit deployment in two patterns (embedded vs. API-backed).