Philipp Schmalen is a Senior Data Scientist based in Copenhagen with 11 years of analytical experience translating economics and aviation discipline into production-grade machine learning solutions. He specializes in fraud detection, computer vision and recommender systems, and has a proven track record shipping models to production using Python, AWS (SageMaker, Lambda, Fraud Detector) and Snowflake. Trained as an economist (MSc, University of Copenhagen) and formerly a First Officer on the A320, he combines rigorous causal and behavioral thinking with high-stakes operational experience to ask the right questions and align stakeholders. At Solita he scaled AI initiatives from data science to business impact and now leads data science work at Inspari, while maintaining an active blog and GitHub with applied ML projects. Curious and collaborative by nature, he focuses on evidence-driven decisions and practical deployment rather than models for their own sake.
11 years of coding experience
8 years of employment as a software developer
Master of Science - MS Economics, Master of Science - MS Economics at Københavns Universitet - University of Copenhagen
Nanodegree Program Introduction to Machine Learning with TensorFlow, Nanodegree Program Introduction to Machine Learning with TensorFlow at Udacity
The University of Hong Kong (HKU)
First Officer A320 (Multi Crew Pilot License) Aeronautics/Aviation/Aerospace Science and Technology General, First Officer A320 (Multi Crew Pilot License) Aeronautics/Aviation/Aerospace Science and Technology General at Lufthansa
Bachelor of Science - BS Economics, Bachelor of Science - BS Economics at The University of Bonn
Contributions:85 pushes, 1 branch in 4 years 1 month
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