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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
Ivan Provilkov
Data Science

Ivan Provilkov

Head of Machine Learning at STAI

Faculty Profile

Ivan is a Data Science expert with both research and industrial experience. He graduated from the Moscow Institute of Physics and Technology with a specialization in Data Analysis. He has research experience in Natural Language Processing, Deep Learning, Uncertainty Estimation, and Machine Learning for physical experiments. He worked in several companies as a Data Scientist, and now he is consulting companies about Machine Learning solutions, Digitization, and Innovations. He did R&D projects in recommendation systems for financial and retail sectors, machine translation, automatic validation of mechanical parts, and knowledge graphs construction. He also teaches Machine Learning at the Moscow Institute of Physics and Technology.

Experience

  • Nov 2019 - Present

    Head of Machine Learning

    Steinbeis Consulting Center AI (STAI)

  • Sep 2019 - Present

    Researcher

    Yandex

  • May 2019 - Nov 2019

    9 Lead Data Scientist

    Datagallery

  • Mar 2019 - Sept 2019

    R&D Software Engineer

    Yandex

  • Feb 2019 - Present

    Teaching Assistant, Lecturer

    MIPT

  • Mar 2018 - Jan 2019

    Data Scientist

    SCIRA

  • Jan 2018 - Aug 2018

    Research And Development Engineer

    MIPT Laboratory of Innovation and Tinkoff Bank

  • Jul 2017 - Sept 2017

    Data Scientist

    QIWI,

Education

  • 2015-2019

    Bachelor of Applied Mathematics and Physics

    Moscow Institute of Physics and Technology (MIPT)

  • 2018-2019

    Data science and Bigdata.

    Yandex School of Data Analysis (YSDA)

Courses by Ivan

Data Science

Introduction to Machine Learning

01 Feb - 19 Feb 2021

Online

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