Dmitry Migunov is a Data Scientist with experience at EPAM Systems from April 2019 to May 2021, where Dmitry developed a system utilizing YOLO and MobileNet for detecting protective helmets on construction sites, achieving an 82% reduction in violations. Since May 2021, Dmitry has been with YIT, focusing on facial recognition technology to enhance security at construction sites by reducing unauthorized entries by over 70%. Dmitry holds a Master's degree in Data Science and a Bachelor's degree in Information Science and Computation Technology, both from ITMO University.
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