Rune Langergaard
Senior Data Scientist
Aarhus, Central Denmark Region
Summary
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Senior🎓
Top SchoolRune Langergaard is a Senior Data Scientist based in Aarhus with seven years of experience applying machine learning and AI across industrial IoT, intelligent automation, and commercial sales analytics at Grundfos. He combines an academic grounding in economics and management (cand.oecon) and data science study at UC Berkeley with hands-on engineering in AzureML, deep learning anomaly detection, RPA and intelligent document processing. Rune thrives at the intersection of economics and data science, turning high-frequency sensor and sales data into production-ready models and actionable insights. He has entrepreneurial experience from a FinTech/LegalTech venture and a patent-applicable project for data-driven baselining in cooling systems, reflecting a penchant for practical innovation. Colleagues describe him as disciplined, curious and communication-focused, with Toastmasters leadership experience that sharpens his ability to present complex models to business stakeholders.
7 years of coding experience
Graduate exchange student, Data science and machine learning, A, Graduate exchange student, Data science and machine learning, A at University of California, BerkeleyMachine Learning Engineer, Machine Learning Engineer at FourthBrainEconomics and Management (cand.oecon), Økonomi, 11, Economics and Management (cand.oecon), Økonomi, 11 at Aarhus Universitet
Danish, EnglishProgramming languages (1)
Github contributions (5)
rune-l/Improved-Mortality-Forecasts-Using-Artificial-Intelligence
May 2020 - Jun 2021
Contributions:36 commits, 35 pushes, 1 branch in 1 year 1 month
rune-l/HighFrequency
Sep 2019 - Jun 2020
Contributions:10 commits, 11 pushes, 1 branch in 8 months
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