Developed a Customer Churn Prediction model by performing end-to-end data preprocessing, data cleaning, exploratory data
Developed a Customer Churn Prediction model by performing end-to-end data preprocessing, data cleaning, exploratory data analysis (EDA), feature engineering, and data labeling. Trained and optimized a machine learning model that achieved 92% accuracy. The model was successfully deployed and is currently being used by the company to identify customers at risk of churn, enabling proactive customer retention strategies.
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