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DataKrest Technologies
Technology

Customer Churn Prediction Model

Predictive analytics identifying customers at risk of churning with retention strategies

  • Python
  • Machine Learning
  • Tableau

About this project

Built a churn prediction model for a SaaS company using logistic regression and random forest algorithms. The model analyzes usage patterns, support tickets, billing history, and engagement metrics to predict churn probability. Enabled proactive retention campaigns that reduced churn rate from 8.5% to 5.2%, saving $3.2M in annual recurring revenue.