Summary
Dmitry Hazanov is a data scientist based in Israel with over ten years of experience building end-to-end ML solutions across finance, insurance, and enterprise SaaS. He has led production models for LTV, churn, credit scoring, and customer profiling at Payoneer and developed novel approaches to detect suspects in ambiguous insurance claim definitions at Menora Mivtachim and umAI. Comfortable with both modeling and implementation, he brings full-stack web development sensibilities from his GitHub background to productionize pipelines and integrate ML with business workflows. His early work in computational genomics and R programming at the Weizmann Institute sharpened his ability to tackle large, messy datasets and design robust data-driven experiments. Known for turning ambiguous requirements into actionable models, he balances statistical rigor with pragmatic deployment experience. Trained in mathematics and statistics at Tel Aviv University, he combines solid theoretical foundations with a decade of cross-industry impact.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BSc), Mathematics and Statistics, Bachelor of Science (BSc), Mathematics and Statistics at Tel Aviv University
Hebrew, Russian, English