Chris Lill is a Data Science Manager with 11+ years of hands-on experience building production AI and analytics solutions across energy and enterprise domains. At Aurora Energy Research he led the team that built EOS AI, a retrieval-augmented assistant answering 2,500+ questions monthly and proving real user adoption with 325 returning users. His background includes 17 years at Microsoft where he transitioned from testing to data science, delivering predictive maintenance, big-data pipelines and cost-saving cloud migrations. He also developed bias-corrected wind atlases for 11 countries, improving trusted datasets with real-world turbine observations—an uncommon blend of domain geophysics and ML. Comfortable leading cross-functional teams, he focuses on translating complex technical problems into business-ready, explainable solutions. Based in Reading, UK, he mentors data scientists and champions pragmatic best practices from prototype to production.
11 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree, Civil Engineering, Bachelor’s Degree, Civil Engineering at University of Nottingham
Johns Hopkins University
Master of Science - MSc, Data Science, Master of Science - MSc, Data Science at University of London
Measure the height of wind turbines from the shadows on Bing maps satellite images
Contributions:6 PRs, 66 pushes, 2 branches in 5 months
bing-mapssatellite-images
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