Summary
Dmitry Timokhin is a Senior Data Scientist based in Moscow with a track record of turning complex lifecycle and business problems into production ML solutions, from look-alike and uplift models to recommender systems and multi-armed bandits. He combines hands-on model development and MLOps—building automation libraries and an auto-training look-alike pipeline—with experience validating model risk and financial impact at Sberbank. Dmitry has led projects and teams, taught economics at university level, and shipped customer-facing products including a Telegram bot and internal CRM where he integrated neural models end-to-end. Comfortable across tabular and NLP tasks and exploring LLMs, he blends rigorous academic training in economics with practical signal-generation experience from WorldQuant. An understated strength is his focus on operationalization and monitoring, ensuring models deliver measurable business value beyond prototype proofs.
3 years of coding experience
2 years of employment as a software developer
Master's degree, Economics and Finance, Research Track, 13.9 / 20, Master's degree, Economics and Finance, Research Track, 13.9 / 20 at University of Luxembourg
Bachelor's degree, Economics, 4.3 / 5, Bachelor's degree, Economics, 4.3 / 5 at Новосибирский Государственный Университет (НГУ)
Master's degree, Economics, Applied Economics, 7.14 / 10, Master's degree, Economics, Applied Economics, 7.14 / 10 at Высшая Школа Экономики
Русский, Английский, Французский