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Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources
Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources
Alexander Guschin
Data Science

Alexander Guschin

Industrial Head of Machine Learning at Central University

Faculty Profile

Alexander Guschin is an Industrial Head of Machine Learning at Central University and a Fullstack ML Engineer. During his career, he worked with ML in various domains and at different scales, both as an Individual Contributor and as a DS/ML team lead. He built companion bots with LLM and Generative models, contributed to the MLOps SaaS platforms and open-source MLOps tools, including https://dvc.org and https://mlem.ai. He worked as a Machine Learning Engineering Lead at a startup centred on the application of machine learning in the industrial sector and Data Science Lead in Yandex.Go. As a teacher, he co-authored the "How to Win a Data Science Competition" curriculum at Coursera, online MLOps class at Karpov.Courses and taught classes about ML competitions and Production ML at Data Mining in Action, the largest offline open data science course in Russia, with over 500 students each year.

Experience

  • Aug 2024 - Present

    Industry Lead of AI Department

    Central University

  • Nov 2023 - Present

    MLOps instructor

    karpov.courses

  • May 2021 - Sep 2023

    Machine Learning Engineer

    Iterative

  • September 2017 - Current

    Machine Learning Instructor

    Coursera

  • September 2017 - Current

    Data science teacher

    Data Mining in Action

  • January 2019 - May 2021

    ML Lead

    Mechanica AI

  • August 2017 - March 2018

    Data Scientist

    Yandex

  • April 2018 - January 2019

    Data Science Team Lead

    Yandex

  • June 2016 - July 2017

    Data Scientist

    Freelance

  • February 2015 - June 2017

    Data analysis teacher

    Moscow Institute of Physics and Technology (State University)

Education

  • 2015 - 2018

    Master's degree, Data analysis

    Moscow Institute of Physics and Technology (State University)

  • 2011 - 2015

    Bachelor's degree, Applied mathematics and physics

    Moscow Institute of Physics and Technology (State University)

Courses by Alexander

Data Science

Building ML solutions: From System Design to Deployment (2024)

30 June - 18 July 2025

Barcelona

Data Science

Building ML solutions: From System Design to Deployment (2023)

29 July - 16 Aug 2024

Barcelona

Data Science

Building ML-powered Applications

02 Oct - 20 Oct 2023

Bangkok

Data Science

Practicing DS Skills in ML Competitions

31 July - 18 Aug 2023

Barcelona

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