Kirill Fomenko is a Chief Data Scientist with a decade of experience building and deploying machine learning solutions across e-commerce and energy sectors, currently leading generative and predictive analytics initiatives at Ozzmart in Bogotá. He combines deep Python proficiency (pandas, numpy, scikit-learn) and modern ML frameworks (XGBoost, CatBoost, PyTorch Lightning, TensorFlow, YOLO) with practical MLOps expertise using ClearML, MLflow, NVIDIA Triton, Airflow and containerized deployments. His background spans roles from data science specialist at NOVATEK to chief developer at Gazprom Neft and earlier audit-focused work at Sberbank, giving him a rare mix of technical leadership and operational rigor. Comfortable with SQL databases, BI tools (Superset, PowerBI), Git and Linux, he excels at turning complex data into production-grade, reproducible systems. Known for quick technical uptake and confident public speaking, he routinely presents at conferences and bridges stakeholder communication with hands-on engineering.
10 years of coding experience
6 years of employment as a software developer
Specialist, Computer Science and Applied Mathematics, Specialist, Computer Science and Applied Mathematics at Yugra State University
Contributions:96 commits, 14 PRs, 84 pushes in 6 years 6 months
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