Summary
Andrei Dzis is a data science leader with 9 years' experience building ML and DL solutions across finance, retail, and industrial domains, now leading a team at Alfa-Bank. He specializes in time series and classical ML for tabular data, with practical end-to-end delivery skills from Spark/Hive data engineering to production orchestration (Airflow, Kubernetes) and visualization. Academically grounded with MSc training at Skoltech and MIPT, he combines research-driven approaches (published internship work on CNNs for signal recovery) with commercial impact—deploying predictive maintenance and risk forecasting models for Gazprom-Neft and X5. An active ML competitor on Kaggle en route to a Competition Master badge, he also shares expertise as an OTUS lecturer and SkillFactory mentor, making him as strong a communicator and coach as a hands-on practitioner.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Data Science, 4.72, Master's degree, Data Science, 4.72 at Skolkovo Institute of Science and Technology
Магистр, Интеллектуальный анализ данных, 4.72, Магистр, Интеллектуальный анализ данных, 4.72 at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)