Anastasiia Klimchuk

Machine Learning Engineer at Smartling

Anastasiia Klimchuk has a diverse background in data science and machine learning. Their most recent experience includes working as a Machine Learning Engineer at Smartling, where they started in April 2023. Prior to that, they were an Intern Deep Learning Engineer at Samsung Electronics Polska from January 2023 to April 2023.

Anastasiia also has experience as a Data Scientist at Uklon from June 2021 to December 2022, and as a Data Scientist at Nestlogic from February 2021 to May 2021.

Earlier in their career, Anastasiia was a Student Data Scientist at Big Data School Kyivstar 5.0, where they developed a random forest model with an accuracy of over 80% to predict car ownership based on anonymized data of Kyivstar users. Anastasiia also worked as a Data Science Trainee at DataRoot Labs, where they participated in Kaggle competitions, implemented machine learning algorithms, and developed RESTful APIs using Flask and Docker.

With their strong background in data science and machine learning, Anastasiia has gained valuable experience in various roles and projects.

Anastasiia Klimchuk's education history includes attending the Kyiv National University named after Taras Shevchenko from 2019 to 2022, where they studied Cybernetics. Prior to that, they studied Methods and Systems of Decision Making at the National Technical University of Ukraine 'Kyiv Polytechnic Institute' from 2015 to 2019. In addition to their formal education, they have obtained various certifications, including Big Data School 5.0 from Kyivstar in December 2020, Data Science & Machine Learning: crash course from edu4you.ua in December 2019, and other courses from Coursera such as What is Data Science? in June 2019, Using Databases with Python in October 2018, Neural Networks and Deep Learning in September 2018, Using Python to Access Web Data in August 2018, Programming for Everybody (Getting Started with Python) in July 2018, and Python Data Structures in July 2018.

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Timeline

  • Machine Learning Engineer

    April, 2023 - present