Summary
Andrew Louis is a Senior Data Scientist with eight years of hands-on experience building fraud-detection and personalization systems for high-throughput consumer platforms. He has led growing analytics teams and shipped production ML pipelines that boosted revenue metrics (e.g., +15% IAP, +20% ROAS) and dramatically improved fraud defenses (300% real-time blocking increase at 98% precision). Comfortable from research-grade time-series anomaly detection to large-scale real-time deep learning inference, he combines product-minded experimentation with robust automation (Airflow) and reinforcement learning for personalization. Based in Old Toronto, he blends financial-crime analytics experience from major banks with consumer-facing product work in gaming and sports betting, and is known for scaling teams with zero attrition while keeping operational precision high.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Mathematics (Honours, Co-op Program), Statistics, Bachelor of Mathematics (Honours, Co-op Program), Statistics at University of Waterloo
French, English, Tamil, Spanish, Chinese