🏀Zerve chosen as NCAA's Agentic Data Platform for 2026 Hackathon
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newankushkumarcity

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Last Updated about 15 hours ago

About

This project analyzes user interaction event data from the Zerve platform to
identify behavioral patterns that predict long-term successful usage.


The workflow includes:

- Cleaning and aggregating raw event-level data into user-level features

- Exploratory Data Analysis (EDA) using statistical summaries and visualizations

- Careful definition of user success based on sustained engagement

- Identification and mitigation of data leakage

- Interpretable machine learning using Logistic Regression

- Model evaluation using accuracy, precision, recall, F1-score, ROC-AUC,

confusion matrix, and precision-recall curves


Key findings show that sustained and consistent engagement is the strongest

driver of user success, providing actionable insights for improving onboarding

and retention strategies.


All analysis is fully reproducible within Zerve and follows competition

guidelines.

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