Summary
Marciano Geijselaers is a Data Scientist with 11 years of experience specializing in optimization, algorithm design, and applied machine learning for energy and healthcare domains. He has delivered production-focused solutions from Azure Functions and containerized dashboards to conformal prediction models that improved clinical and operational decision-making. His background blends rigorous statistical forecasting, data engineering, and BI—having built anonymization pipelines, change-tracking tools, and validated forecasting frameworks for clients. Based in Eijsden, Netherlands, he moves comfortably between hands-on engineering and research-driven model design thanks to an MS in Data Science for Decision Making. Outside work he channels analytical instincts into strategy-heavy board and video games and maintains a practical interest in automotive systems, a trait that often informs his systematic approach to problem solving.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Data Science for Decision Making, Master of Science - MS, Data Science for Decision Making at Maastricht University
High School Diploma, High School Diploma at Sint-Maartenscollege
Finance, General, Finance, General at Lindenhaeghe
Dutch, English