Dmitry Brazhenko
Software engineer & Data scientist at Microsoft
Dmitry is a highly skilled Software Engineer at Microsoft, where he has been contributing since November 2021. Based in Prague, Czechia, his expertise lies in machine learning, data pipeline architecture, and optimizing system performance in production environments. His technical proficiency includes Python, Machine Learning, and system scalability. Additionally, Dmitry is an active contributor to open source and the author of a popular open source library, further highlighting his commitment to the tech community.
Before joining Microsoft, Dmitry was a Senior Analyst/Data Scientist at Easybrain from April 2020 to August 2021. In this role, he excelled in developing an internal Python library for AB-test analysis and a recommendation system for puzzle images.
At Yandex (November 2017 - May 2020), Dmitry balanced his roles as a Data Scientist and Technical Product Manager. He led a team to create a BI tool for search page quality analysis and managed data pipelines for search quality metrics.
Dmitry's educational background includes a Bachelor's degree in Econometrics and Quantitative Economics from Lomonosov Moscow State University (2014 - 2018) and specialized training in Big Data and Computer Science from the Yandex School of Data Analysis (2016 - 2018).
His career is distinguished by his strong commitment to applying his deep technical knowledge to improve product performance and efficiency, particularly in high-load production environments.
Before joining Microsoft, Dmitry was a Senior Analyst/Data Scientist at Easybrain from April 2020 to August 2021. In this role, he excelled in developing an internal Python library for AB-test analysis and a recommendation system for puzzle images.
At Yandex (November 2017 - May 2020), Dmitry balanced his roles as a Data Scientist and Technical Product Manager. He led a team to create a BI tool for search page quality analysis and managed data pipelines for search quality metrics.
Dmitry's educational background includes a Bachelor's degree in Econometrics and Quantitative Economics from Lomonosov Moscow State University (2014 - 2018) and specialized training in Big Data and Computer Science from the Yandex School of Data Analysis (2016 - 2018).
His career is distinguished by his strong commitment to applying his deep technical knowledge to improve product performance and efficiency, particularly in high-load production environments.