Jan Schelhaas is a data engineer with 8 years of experience building high-performance, maintainable data platforms—currently enabling better public transport in Copenhagen by engineering systems that collect and process signaling, performance, and IoT sensor data for the Metro and Light Rail. With an M.Sc. in Data Science and a B.Sc. in Computer Science, he blends strong software engineering practices (CI/CD, cloud deployments on Google Cloud) with hands-on data science work and plans to apply the data in intelligent applications and AI models. Previously he advanced esports analytics at Skybox by developing robust pipelines and state-of-the-art algorithms, and he has taught geospatial data science exercises using Python and geopandas. Comfortable in Python and experienced with Rust, Kotlin, Java, and node.js, he focuses on scalable, production-ready solutions that prioritize observability and operational value. An understated strength is his domain expertise in transport operations, turning sensor streams into actionable supervision and infrastructure insights.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at IT-Universitetet i København
Abitur, Abitur at Goethe- Gymnasium Schwerin
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Hochschule für Technik und Wirtschaft Berlin
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