Summary
Kirill Evgeniev is a Senior Data Scientist specializing in anti-fraud and credit scoring with a strong FinTech and Telecom background, combining roughly six years in data roles with 14 years of broader technical experience. At Ozon Tech he builds end-to-end fraud models and production ML pipelines for products serving millions of clients, while previously optimizing ETL, costing, and dashboards to cut costs and speed up analytics at SprintHost. He has a track record of modernizing scoring cores, achieving team KPIs, and setting up monitoring and documentation practices that improve operational transparency and onboarding. Comfortable across SQL, Python, Airflow and Grafana, Kirill blends hands-on feature engineering and deployment with product-driven metrics and sprint planning. Colleagues rely on him for reproducible model delivery and pragmatic anti-fraud hypotheses that translate directly into measurable business impact.
6 years of coding experience
16 years of employment as a software developer
Bachelor of Science - BS, Data Science, Bachelor of Science - BS, Data Science at IU International University of Applied Sciences
Russian, English, German, Spanish