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Nadine Prins is a Master Thesis Student at the Netherlands eScience Center since March 2022, focusing on machine learning methods to predict developmental dyslexia using EEG data. Previously, Nadine gained experience in various roles, including a bartender at All Inn Squash and a volunteer for WIL in je buurt from June 2020 to January 2022. As a service employee at Pathé Theatres B.V. from August 2017 to March 2021 and an intern in customer analytics at TUI in 2019, Nadine developed practical customer service and analytics skills. Nadine completed a bachelor thesis at Capgemini Nederland, applying cluster analysis to predict room occupancy. Educational qualifications include a Master’s degree in Artificial Intelligence from Utrecht University and an HBO degree in Applied Mathematics from The Hague University of Applied Sciences, along with a European Project Semester at Universitat Politècnica de València. Nadine holds a secondary school degree from Amadeus Lyceum.