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Comprehensive user retention and engagement analysis platform that processes event data to extract cohort retention metrics, user segmentation, feature engineering, and a gradient boosting retention prediction model. The workflow starts with raw event data loading, branches into parallel analysis streams (cohort retention heatmaps, event engagement metrics, credit consumption patterns) and converges into a machine learning pipeline that trains a retention classifier and evaluates its predictive performance.