Customer Churn Analysis
Data Analysis
Project Overview
Identifying at-risk customers with AI that reduced churn rate by 25%. The solution uses behavioral analysis, engagement metrics, and sentiment data to predict which customers are likely to leave and recommend retention strategies.
Technologies Used
Scikit-learn, FastAPI, Power BI
Completion Date
September 2024
Project Category
Data Analysis
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