YP

Yevhenii Popovych

Data Engineer at Paxful

Yevhenii Popovych has a diverse work experience in various tech roles. Yevhenii started their career as a Software Engineer/Data Scientist at the Swiss Federal Institute of Technology in Lausanne from January 2015 to February 2017, where they focused on analyzing searching algorithms, implementing best practices, and resolving technical deficiencies. Yevhenii then worked at BetInvest Ltd. as a Software Engineer/Data Scientist from February 2017 to February 2018, where they analyzed and processed complex data sets, developed mathematical models for sports result prediction, and designed general system architecture. Yevhenii then joined EGT Ukraine as a Data Scientist/Software Engineer from February 2018 to March 2020, where they developed a real-time distributed system for processing data flow using microservices architecture and collected, aggregated, and analyzed data from various sources. Yevhenii then worked at Zakaz.ua as a Software Engineer from March 2020 to September 2020, and currently, they are working as a Data Engineer at Paxful since September 2020.

Yevhenii Popovych obtained a Bachelor's degree in Computer Science from Taras Shevchenko National University of Kyiv, studying from 2013 to 2017. Prior to that, they attended Kyiv Natural Science Lyceum No.145, although specific details about their degree or field of study at the lyceum are not available.

Yevhenii also holds several certifications in various areas of machine learning and artificial intelligence. In November 2017, they completed the course "Neural Networks and Deep Learning" and "Structuring Machine Learning Projects" from Coursera. In December 2017, they obtained the certification for "Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization." Additionally, Yevhenii completed the course "Введение в машинное обучение" in October 2017 and "Специализация Deep Learning" in November 2018, both from Coursera. Their most recent certification is in "Natural Language Processing" from Coursera, which they obtained in August 2022.

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Previous companies

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Timeline

  • Data Engineer

    September, 2020 - present

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