Tim Tessensohn is a Senior Data Scientist with 14 years of experience specializing in AI, operational research, and autonomous systems, currently applying his expertise at Conclusion Intelligence. He holds a PhD from Erasmus University on optimizing robotic mobile fulfillment systems and has a strong track record of translating stochastic modeling, queueing theory, and simulation into productivity gains for automated warehouses. Tim combines academic rigor with industry impact from roles at TNO and as Principal Data Scientist at Future Facts, consistently focusing on efficiency and scalability of automated systems. Based in Diemen, Netherlands, he pairs econometrics and quantitative logistics training with hands-on deployments, and his background as a scientific journal editor and early research presenter signals strong communication of complex ideas to both technical and non-technical audiences. An understated strength is his ability to bridge theoretical optimization methods with pragmatic engineering constraints in real-world robotics and fulfillment environments.
14 years of coding experience
7 years of employment as a software developer
Bachelor in Econometrics and Operations Research, Master in Operations Research and Quantitative Logistics, Bachelor in Econometrics and Operations Research, Master in Operations Research and Quantitative Logistics at Erasmus University Rotterdam
Architecture, Architecture at Delft University of Technology
Contributions:28 pushes, 1 branch, 13 tags in 4 months
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