Banking Retention Intelligence: A Statistical Audit of Customer Attrition

This project focuses on predicting customer churn within a banking environment using personal, behavioral, and financial attributes. By identifying the key drivers of attrition, banks can shift from reactive management to proactive retention strategies.

The analysis involves a rigorous statistical pipeline, moving from Exploratory Data Analysis (EDA) and Cochran-Mantel-Haenszel (CMH) testing to advanced SMOTENC resampling and XGBoost/Logistic Regression modeling.

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