Churn Reduction & Revenue Retention
Built and deployed customer churn prediction model using XGBoost and AWS SageMaker, decreasing customer churn by 14% and saving $1.2M in annual revenue.
Metric:-14% churn, $1.2M saved
Experimentation Velocity
Designed statistical A/B testing framework evaluating 40+ product experiments, reducing test duration by 3 weeks while maintaining 95% statistical power.
Metric:3 weeks faster experiment cycle
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