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Raphael Schymczyk is an experienced data science professional currently serving as an Associate at idalab since September 2020, where previous roles included Junior Associate, Student Trainee, and Intern. From January 2021 to May 2022, Raphael was a Student Researcher at Charité, focusing on stroke outcome prediction using deep neural networks and magnetic resonance imaging. Academic contributions include serving as a Student Tutor at both the Department of Econometrics and Business Statistics and the Department of Macroeconomics at Technische Universität Berlin, where responsibilities involved teaching statistics, organizing tutorials and exams, and creating educational materials. Educational qualifications include a Master of Science in Industrial Engineering and Management from Technische Universität Berlin and a Bachelor of Science in the same field from the same institution, complemented by studies at Alma Mater Studiorum – Università di Bologna.