Oleg Polivin is a Senior Data Scientist with nine years of experience building and deploying ML systems, from large-scale CTR/CVR recommender models to computer vision and NLP solutions. He combines a rigorous academic background—a PhD in Empirical Economics and extensive econometrics—with hands-on engineering skills in Python, PyTorch, TensorFlow, SQL and cloud deployment. At Huawei Ireland Research Center he works on production-grade ML, having previously accelerated forecasting and detection systems at Airbus and Altran, including a 4x speedup of passenger-flow models and low-memory TFLite vision models. A Kaggle Competitions Expert, he leverages competition-grade modeling and practical efficiency tuning to solve real-world constraints. Comfortable communicating across cultures and teams, he also brings domain experience in econometric simulation and teaching, which informs robust, explainable modeling choices. Based in Luxembourg, he blends academic rigor with production engineering to deliver scalable, resource-conscious ML solutions.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Mathematical Methods of Economic Analysis, Master of Science - MS, Mathematical Methods of Economic Analysis at Московский Государственный Университет им. М.В. Ломоносова (МГУ)
Computer Science and Data Science, Computer Science and Data Science at Computer Science Center
Master of Science - MS, Economics, Master of Science - MS, Economics at Barcelona Graduate School of Economics
Doctor of Philosophy (Ph.D.), Empirical Economics, Statistics and Econometrics, Doctor of Philosophy (Ph.D.), Empirical Economics, Statistics and Econometrics at Toulouse School of Economics
Contributions:9 PRs, 76 pushes, 1 branch in 3 months
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