About

Comprehensive multi-stage hackathon submission analyzing 6,452 Zerve users across 299MB of event data to build a Data Work Maturity Index (DWMI) predictor, featuring a full ML pipeline (SQL → Python Fleet hyperparameter search → R statistical testing) achieving 99.92% AUC and culminating in an immersive three.js 3D behavioral topology galaxy with 2,800 animated particles, constellation edges, and tipping point beacons.