Stephan Leijtens is a data scientist with eight years of experience building production-ready analytics and ML solutions across finance, healthcare, energy, and transportation. He combines practical model development (time-to-event, churn, credit scoring, NLP text classifiers) with operational know-how—deploying models, implementing GDPR measures, and standardizing ML environments using Docker and Azure. Known for making advanced analytics accessible, he regularly leads workshops, internal training, and presentations to translate technical outcomes into business value. His background in marketing research and international business gives him a strong instinct for customer-focused experiments and ROI-driven analytics. Now based in Gothenburg and working at CIZ, he brings both hands-on coding and cross-functional collaboration to data product delivery. An understated strength is his track record of embedding analytics into teams—establishing self-service BI, hacktime initiatives, and hiring support to scale data capabilities.
7 years of coding experience
5 years of employment as a software developer
Master of Science - MS Marketing Research, Master of Science - MS Marketing Research at Tilburg University
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