Summary
Nils Carlsson is a Principal Data Scientist based in Chicago with nine years of experience applying statistical modeling and machine learning to financial services and public health. He built the core underwriting model for Avant’s credit card product and developed 10+ supplementary models across marketing, fraud, and verification, alongside automated pipelines for offline scoring and model monitoring. His background spans applied mathematics, engineering and physics from UW–Madison, an immersive data science fellowship at Galvanize, and published public health research from his time at Washington University. Comfortable bridging rigorous academic analysis and production ML, he excels at turning complex datasets into deployed, auditable predictive systems. Colleagues describe him as analytically curious and pragmatic—someone who delights in tackling real-world risk and product problems end-to-end.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Applied Math, Engineering and Physics, Bachelor of Science (B.S.), Applied Math, Engineering and Physics at University of Wisconsin-Madison
Data Science Immersive Curriculum, Data Science Immersive Curriculum at Galvanize - San Francisco, SoMa
English, German