Summary
Andreas Helfenstein is a Helsinki-based data scientist with 11 years of experience blending academic rigor from a PhD in Pharmacy with hands-on machine learning and analytics across industries including telecom, aviation, and consulting. He has led data science projects from research-grade bioinformatics and high-throughput screening to production video analytics and customer-experience modeling, demonstrating an unusual capacity to move complex scientific problems into applied ML solutions. Comfortable in consulting and product environments, he has repeatedly worked at the intersection of data engineering, model development and stakeholder-driven insight delivery. Known for treating data science as a creative craft, he prioritizes inventive problem framing to extract maximal value from large, messy datasets.
12 years of coding experience
14 years of employment as a software developer
Swiss Federal Pharmacist's Diploma MSc in Pharmacy, Swiss Federal Pharmacist's Diploma MSc in Pharmacy at University of Geneva
Doctor of Philosophy - PhD Pharmacy, Doctor of Philosophy - PhD Pharmacy at University of Helsinki
Bachelor of Science (BSc) Pharmaceutical Sciences, Bachelor of Science (BSc) Pharmaceutical Sciences at University of Basel
English, German, French, Italian, Swedish, Finnish