Mikhail I. is an experienced Senior Staff Machine Learning Engineer at Grid Dynamics since February 2018, specializing in the implementation of end-to-end data science pipelines for high-profile B2B retail clients. Noteworthy projects include systems for predicting promotions and recommending shopping bags, as well as real-time anomaly detection in time series data. Prior to this role, Mikhail contributed as a Senior Machine Learning Engineer, Machine Learning Engineer, and Python Developer at Grid Dynamics, working on various applications and services. Mikhail's professional background also includes experience as a Java Software Developer at EPAM Systems and as an OpenStack Software Engineer and Java Intern Software Engineer at Mirantis. Mikhail holds a completed postgraduate degree in Informatics and Computer Engineering and a master's degree in Applied Mathematics and Informatics from Saratov State University named after N.G. Chernyshevsky.
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