← BACK TO PROJECTS
Creative Galileo
Predicting Drop-Off and Fixing Slow Spots in a 10M-Download App
An early-stage EdTech (Series A) with 10M+ downloads was losing users at the payment page.
Built
Churn prediction models + user-behavior diagnostics surfacing slow spots in the app.
Approach
scikit-learn + AWS SageMaker for risk scoring; S3 user-behavior data analysis for funnel drop-off ranking.
Impact
10% faster load · 12% less lost-payment rate
Skills
scikit-learnSageMakerAWS S3Telemetry