Michał Domagała
Asystent naukowy at Uniwersytet Jagielloński w Krakowie- Claim this Profile
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angielski Professional working proficiency
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niemiecki Elementary proficiency
Topline Score
Bio
Credentials
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Python for Data Science and Machine Learning Bootcamp
UdemyNov, 2021- Oct, 2024 -
Machine Learning by Stanford University
CourseraSep, 2021- Oct, 2024 -
2021 Complete Python Bootcamp From Zero to Hero in Python completion certificate
UdemyMar, 2021- Oct, 2024 -
Certificate JCJ - English C1
Jagiellonian Languages CenterJul, 2020- Oct, 2024
Experience
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Jagiellonian University
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Poland
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Higher Education
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700 & Above Employee
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Asystent naukowy
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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
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Geotronics Dystrybucja Sp. z o.o.
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Poland
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Civil Engineering
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1 - 100 Employee
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Data Science Intern
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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
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Education
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Politechnika Krakowska im. Tadeusza Kościuszki
Inżynier (Inż.), Matematyka stosowana -
Uniwersytet Jagielloński w Krakowie
Licencjat (Lic.), Kognitywistyka