Summary
Andrew Dzhoha is a Senior Applied Scientist with 15 years of engineering experience and over a decade building ML-driven production services, currently shaping Zalando's ranking and search platform with measurable customer and financial impact. He holds a PhD in Statistical Machine Learning and has published research on bandits, debiasing, and recommender systems, bringing strong theoretical grounding to production personalization and IR problems. His background spans online learning and real-time bidding in ad-tech to large-scale recommender engineering, combining deep expertise in transformers, autoencoders, and scalable ML design patterns. Andrew is a hands-on backend and data engineer who has contributed to more than a dozen open-source projects and prefers end-to-end ownership—from model research to deployment and system design. Based in Berlin, he blends academic rigor with pragmatic product focus, often surfacing less obvious improvements from debiasing and causal-aware approaches that boost long-term engagement.
15 years of coding experience
10 years of employment as a software developer
Master's Degree, Computer Engineering, Master's Degree, Computer Engineering at Donetsk National Technical University
Doctor of Philosophy - PhD, Statistical Machine Learning, Department of Applied Statistics, Computer Science, external, Doctor of Philosophy - PhD, Statistical Machine Learning, Department of Applied Statistics, Computer Science, external at Taras Shevchenko National University of Kyiv
English, German