Summary
Raymon Van Dinter is a Senior Data Scientist with nine years of experience applying software engineering and machine learning to predictive maintenance, digital twins, and computer vision across industries such as semiconductor, utilities, and manufacturing. He combines PhD-level research—designing a reference architecture for Digital Twin-driven predictive maintenance—with hands-on product delivery, having led cross-functional teams and acted as Product Owner for CNC maintenance projects. Raymon excels at keeping a strategic overview while shipping technical solutions, from real-time grid asset monitoring at Alliander to ML prototypes and factory test automation at LUMICKS. He is comfortable across the full lifecycle—modeling, implementation, deployment, and knowledge transfer—and has a track record of translating academic insights into industrial impact. Based in Arnhem, he is particularly motivated by projects with clear societal value and a pragmatic focus on reducing downtime and improving system resilience. An often overlooked strength is his formal training in leadership and project management, which helps him align stakeholders and accelerate adoption of complex data-driven systems.
9 years of coding experience
4 years of employment as a software developer
Minor, Effective Leadership, Minor, Effective Leadership at HAN University of Applied Sciences
Doctor of Philosophy - PhD, Architecting Digital Twin-based Predictive Maintenance Systems, Doctor of Philosophy - PhD, Architecting Digital Twin-based Predictive Maintenance Systems at Wageningen University & Research
Dutch, English