I will build a customer churn prediction model in python

 I build high-accuracy Customer Churn Prediction models in Python to help you identify and retain at-risk users before they leave. I will handle your entire machine learning pipeline by cleaning raw business data, managing class imbalances, and engineering behavioral features. Then, I will train and optimize industry-standard algorithms like XGBoost, LightGBM, and Random Forest to give you the best predictive power. Finally, you will receive a clear performance report with metrics like ROC-AUC and Recall, alongside a detailed list of the top business factors driving your customer churn. Everything will be delivered as clean, fully documented Jupyter Notebook or production-ready Python code.