About

I built a Machine Learning pipeline natively in Zerve to predict long-term user success by analyzing over 400,000 application event logs. Using a Random Forest model, I achieved 98% accuracy. The core finding reveals that early engagement with AI agent features is the strongest predictor of power-user retention.