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⚠️ Demo Project
This is a placeholder project showcasing my portfolio design. I'm currently updating with real work samples.
PythonCustomer AnalyticsPredictive ModelingBusiness Intelligence
Customer Churn Analysis
Created a model to predict customer churn risk and identify key retention factors
Completed: October 2022
Client: Subscription Service
Python, scikit-learn, XGBoost, Pandas, Matplotlib
Project Overview
A predictive model that identifies customers at risk of churning and the key factors influencing retention, enabling proactive retention strategies. The analysis included data exploration, feature engineering, model development, and deployment of a monitoring dashboard.
Tools & Technologies
Pythonscikit-learnXGBoostPandasMatplotlib
Key Outcomes
32%
Reduction in customer churn rate
22%
Increase in retention campaign effectiveness
85%
Accuracy in predicting high-risk customers