👉 In my last project, I developed an advanced machine learning model designed to predict customer churn for a telecommunications company. Utilizing historical data on customer behavior, demographics, and service usage, the model was trained to identify patterns indicative of potential churn. Through feature selection and hyperparameter tuning, I optimized the model's accuracy, achieving a 92% precision in predicting churn. The project culminated in deploying this model into the company's CRM system, enabling proactive retention strategies and significantly reducing churn rates by 15% within the first quarter.
