Summary
Dimitrios Soudis is an expert in quantitative research and data analysis with nine years of experience applying statistics and machine learning to healthcare, economics, and industrial problems. He has led cross-functional teams and RWE statistical strategies at Pfizer, delivered generative AI products to executive leadership, and now advises organizations at Cedefop on turning business and research goals into testable hypotheses and actionable data products. His background combines a PhD in Economics with hands-on data science roles at the University of Groningen, where projects ranged from chemical process optimization to ICU risk prediction and automated video analysis. Comfortable coding in R and Python, he publishes code on GitHub and writes a technical blog, signaling a commitment to reproducibility and clear communication for diverse audiences. Less obvious is his track record of translating academic research into operational solutions—supervising students and teaching while shipping production-ready analyses for industry stakeholders.
9 years of coding experience
11 years of employment as a software developer
BSc, Economics, BSc, Economics at Aristotle University of Thessaloniki (AUTH)
PhD, Economics, PhD, Economics at University of Groningen
MSc, Economics, MSc, Economics at University of Gothenburg
English, Greek