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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
Anna Rudenko
Data Science

Anna Rudenko

Research Intern at Skoltech, Moscow

Faculty Profile

Anya is currently pursuing her PhD at Skoltech with the focus on efficient numerical methods for Large Language Models (LLMs). She completed her undergraduate studies at ITMO University with a specialization in Mathematical Modelling and in Skoltech with specialization in Data Science. She has extensive pedagogic experience. As teaching assistant she served on courses on optimization methods, numerical linear algebra and recommender systems.

Experience

  • Summer 2019

    Intern – recommender systems prototype for Business clients of “Lentochka” app

    Lenta

  • 2018–2019

    Java Developer Intern

    EPAM SYSTEMS

  • 2017–2018

    Assistent Engineer

    ITMO UNIVERSITY

  • 2021–2023

    Junior Research Scientist, Numerical Linear Algebra Teacher Assistant, Introduction to Recommender Systems Teacher Assistant

    Skoltech

  • 2021

    Introduction to Machine Learning Teacher Assistant

    Karpov Courses

  • 2023

    Optimization methods Teacher Assistant

    MIPT

Education

  • 2022–current

    Ph.D. in Data Science, Advisor: Ivan Oseledets

    Skolkovo Institute of Science and Technology

  • 2019–2021

    M.Sc. in Data Science, Advisor: Ivan Oseledets

    Skolkovo Institute of Science and Technology (Skoltech)

  • 2016–2018

    M.Sc. in Applied Mathematics and Informatics with honours

    University of Information Technologies, Mechanics and Optics (ITMO)

  • 2012–2016

    B.Sc. in Technical Physics

    Peter the Great St.Petersburg Polytechnic University

Courses by Anna

Data Science

Intro to Machine Learning

29 Jan - 16 Feb 2024

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