Daniel Maaskant

Daniel Maaskant is a skilled Data Engineer and Analyst currently at InTraffic since April 2022, previously working in IT support at Vrije Universiteit Amsterdam from May 2013 to April 2022. Daniel has a strong background in artificial intelligence, evidenced by the MSc thesis on object detection using Mask-RCNN during an internship at the Municipality of Amsterdam, and a BSc thesis focused on real-time aggression detection in nightlife settings through machine learning at TNO. Daniel's academic credentials include a Master of Science in Artificial Intelligence from the University of Amsterdam and a Bachelor of Science in Lifestyle Informatics from Vrije Universiteit Amsterdam. Additionally, experiences in various roles, such as Commissioner for External Relations at Study Association STORM, have contributed to Daniel's well-rounded expertise in both technical and interpersonal domains.