Danil Polyakov

Danil Polyakov has a diverse work experience spanning from 2010 to the present. Danil began their career as a student at Kiev National University of Taras Shevchenko, where they studied from September 2010 to July 2016. In 2015, they joined Kuehne + Nagel as a Software Quality Assurance Tester and later transitioned to become an IT Business Analyst from September 2017 to January 2018. In 2018, Danil worked as a data scientist at both Kievstar from January to July and at Genesis from August 2018 to April 2020. Currently, they are employed at Kernel as a Data Scientist, a position they have held since April 2020, and as the Data Science Team Lead since October 2021.

Danil Polyakov earned a Master's degree in Computer Mechanics from Taras Shevchenko National University of Kyiv from 2010 to 2016. Danil has also obtained several certifications, including "Machine Learning Data Lifecycle in Production" and "Machine Learning Modeling Pipelines in Production" from Coursera in 2021, "Build Basic Generative Adversarial Networks (GANs)" from Coursera in 2020, and "Learning How to Learn: Powerful mental tools to help you master tough subjects." Additionally, Danil has completed courses in "Поиск структуры в данных" and "Построение выводов по данным" from Moscow Institute of Physics and Technology & Yandex.