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MJ

Marie Jatsun

Bioscience Engineering @ KU Leuven
Antwerp, Belgium

I am a motivated master’s student in Bioscience Engineering with a strong interest in data, technology, and digital innovation. I enjoy using analytical and programming skills to extract insights and support data-driven decision-making. I thrive in dynamic environments where I can combine problem-solving with creativity. My goal is to contribute to an impact-driven company by turning complex data into valuable insights.

Tech stack

Back-end

Python
Jenkins

ETL Datawarehouse

DataStage

Miscellaneous

Machine Learning

Front-end

JSP / Servlets

Systems

Version Control System (VCS)
Language
Native Dutch
Dutch
Native
Russian
Native
English
Fluent
Ukrainian
Fluent
French
Average
Work experience
Since 2019
Tutoring @ My Sherpa
01 January 2021 -

Tutoring chemistry, mathematics, physics and statistics, improving communication skills.

Intern @ APIXA
01 June 2025 - 31 August 2025

Contributed to computer vision solutions by implementing a one-shot object detector, gaining experience in independent research, programming, and practical problem-solving.

Quality Control @ Mylène
01 June 2022 - 31 August 2023

Laboratory quality control on produced cosmetics and raw materials, enhancing problem-solving ability and ability to work under pressure.

Teaching assistance @ Ku Leuven
01 September 2022 - 30 June 2023

Teaching the exercise session for OPO Principles of Biostatistics, under supervision of Professor J. Vercauteren, developing communication skills and student guidance abilities.

ADMINISTRATION @ Hof van Egmont
01 January 2020 - 31 December 2020

Working at the reception desk at nursing home gaining administrative skills.

Hospitality @ De Ridder van Musena and La Loggia
01 January 2019 - 31 December 2019

Working in customer service, strengthening teamwork and stress management skills.

Education experience
Since 2020
Bioscience Engineering @ KU Leuven
01 September 2024 -

Major in Technology for the Agri-food sector, minor in Statistics and Data Science. Thesis on Self-Supervised Learning for Intelligent Insect Sound Classification.

Bioscience Engineering @ KU Leuven
01 September 2020 - 30 June 2024

Thesis on an enhanced deep learning labelling strategy for the detection of gluten containing grains.

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