Michał Domagała

Asystent naukowy at Uniwersytet Jagielloński w Krakowie
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Contact Information
us****@****om
(386) 825-5501
Location
Cracow, Małopolskie, Poland, PL
Languages
  • angielski Professional working proficiency
  • niemiecki Elementary proficiency

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Credentials

  • Python for Data Science and Machine Learning Bootcamp
    Udemy
    Nov, 2021
    - Oct, 2024
  • Machine Learning by Stanford University
    Coursera
    Sep, 2021
    - Oct, 2024
  • 2021 Complete Python Bootcamp From Zero to Hero in Python completion certificate
    Udemy
    Mar, 2021
    - Oct, 2024
  • Certificate JCJ - English C1
    Jagiellonian Languages Center
    Jul, 2020
    - Oct, 2024

Experience

    • Poland
    • Higher Education
    • 700 & Above Employee
    • Asystent naukowy
      • Jul 2021 - Present

      I am currently working on Source-Conn project in Neurphysiology Laboratory in Jagiellonian University's Institute of Psychology. I am tasked with choosing, benchmarking, training and implementing classification models with machine learning. Those models will be used to determine wheteher signal sources derived from EEG are brain components or are environmental noise . Whole process is developed using MatLab I am currently working on Source-Conn project in Neurphysiology Laboratory in Jagiellonian University's Institute of Psychology. I am tasked with choosing, benchmarking, training and implementing classification models with machine learning. Those models will be used to determine wheteher signal sources derived from EEG are brain components or are environmental noise . Whole process is developed using MatLab

    • Poland
    • Civil Engineering
    • 1 - 100 Employee
    • Data Science Intern
      • Mar 2020 - May 2020

      I was working as an Intern in Geotronics Distrubiutions on project regarding Machine Learning and Computer Vision in automatization and optimization of defectoscopy and cargo analysis for Polish Railways (PKP - Polskie Koleje Państwowe) my responsibilities were as follows: + Choosing ,benchmarking and testing machine learning libraries, models, and environments best suited for company's hardware and software + Finidng in Scientific Literature Artificial Inteligence and Machine Learning methods best suited for defectoscopy in railway tracks + Finding best hardware for machine learning and estimating by means of extensive search wheather such hardware is needed or can be utilised given company's resources Show less

Education

  • Politechnika Krakowska im. Tadeusza Kościuszki
    Inżynier (Inż.), Matematyka stosowana
    2020 - 2023
  • Uniwersytet Jagielloński w Krakowie
    Licencjat (Lic.), Kognitywistyka
    2017 - 2020

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