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.
Machine Learning
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.
Book Recommender — Hybrid Content + Collaborative Filtering
A hybrid book recommender combining TF-IDF, sentence embeddings, and SVD-based collaborative filtering on the goodbooks-10k dataset.