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Evgeny Pozdeev has a broad range of work experience. Evgeny began their career in 2015 as a Software Engineering Intern at UNIS Labs, where they developed and optimized software for a network of retail stores, as well as collected business requirements, created product requirements and design documentation. In 2016, they interned at Accenture and worked as an Advanced Analytics Intern at McKinsey & Company. In 2017, they were a Summer Intern at Google Trust and Safety, where they built a supervised learning experiment using Python, TensorFlow and Keras with the help of protocol buffers, Dremel, Bazel, and Borg technologies. Evgeny used four different types of models during the experiment. In 2020, they joined Distribusion Technologies as Head of Data, Advanced Analytics Team Lead, and Data Scientist.

Evgeny Pozdeev obtained their Bachelor's degree in Software Engineering from the Higher School of Economics in 2014-2018. Evgeny then pursued a Master's degree in Big Data Management and Analytics from Technische Universität Berlin, Universitat Politècnica de Catalunya, and Université libre de Bruxelles, which they completed in 2020.