About
Models in production. Not in slides.
Catalytics is a data modeling practice for the subscription economy.
Founded by Yulia Konyushina — growth strategist for digital subscription services, with 4 years at Basebone and 5 years at Marbill Technologies. 9 years inside the mechanics of traffic acquisition, billing funnels, and retention economics — and author of an award-winning fraud detection engine.
Every Catalytics model is built the same way: SQL deep analysis of historical data, Python machine learning, and scoring deployed where decisions are made.
No black boxes. Every score comes with the signals behind it.
- SQL deep analysis billing · traffic · behavior
- Python machine learning scoring · prediction
- Attribution Markov · Shapley
- Survival & churn models retention · rebills
- Anomaly detection fraud · traffic