Simon Kreulen is currently a Thesis Intern in Data Science at RTL Nederland, where the focus is on developing a content summarization algorithm using innovative machine learning techniques. With ongoing experience as an IT Specialist at Eurocommercial Properties N.V., Simon is responsible for maintaining and upgrading local ICT infrastructure. Previous roles include a Data Science Intern at NS, where research involved studying the causality between shared mobility services and train travel, and a Service Agent at Nuts Groep B.V. Simon holds a Master of Science in Data Science from the University of Amsterdam and a Bachelor of Science in Information Science from the same institution, along with a minor in Understanding and Influencing Decisions in Business and Society from VU Amsterdam. Additionally, Simon completed the propaedeutic phase in International Business and Management studies at the Amsterdam School of International Business.
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