Customer Churn Prediction
End-to-end machine learning project using exploratory data analysis, logistic regression, and GridSearchCV-tuned random forest on a telecom churn dataset. Improved recall to 0.78, built a FastAPI prediction endpoint, and deployed the pipeline to GitHub.