M

marketing-analytics

Reproducible Python experiments turning treatment-effect estimates into targeting policies, with cross-fitted policy evaluation, uncertainty analysis, and policy trees on Hillstrom's randomised email experiment.

📊 End-to-end marketing data analysis project using Python and Jupyter Notebook. 🔍 Focused on customer demographics, spending behavior, and campaign performance. 📈 Includes data cleaning, EDA, visualization, and actionable business insights.