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Predicting Power Users in AI Data Workspaces

sumitsinghchouhan744
March 7, 2026

About

This is a comprehensive end-to-end data science pipeline that predicts power users in an AI data workspace by synthesizing event data, engineering behavioral features, training and validating a RandomForest classifier, and identifying data leakage—ultimately generating visual insights and actionable product recommendations for improving user activation, retention, and engagement.

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