{"data":{"full_name":"Edwinkorir38/Customer-Churn-Analysis-SQL-Power-BI-Python","name":"Customer-Churn-Analysis-SQL-Power-BI-Python","description":"This project analyzes telecom customer churn using Python to identify the key factors behind customer retention and cancellation. By examining behavior, service usage, and support interactions, it predicts churn risk and helps companies like Airtel build more effective, data-driven retention strategies.","stars":0.0,"forks":0.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"customer-churn-prediction","last_pushed_at":"2026-03-21T12:15:24+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":13.0,"adoption_score":0.0,"maturity_score":1.0,"community_score":0.0,"quality_score":14.0,"quality_tier":"experimental","risk_flags":"['no_license', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-06T17:39:37.257638+00:00"}}