Steven Larsen
Dataingeniør
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolSteven Larsen is a data engineer with eight years of experience applying data science and machine learning to real-world problems, now building data solutions at VELUX after four years as a Data Engineer/Data Scientist at DR. He holds a cand.scient.pol from the University of Copenhagen and wrote a master's thesis that used a deep convolutional neural network to predict Danish local election outcomes from candidate photos—illustrating an unusual blend of political science and computer vision. His background spans consultancy and media, giving him strong experience in productionizing models and designing data pipelines for diverse stakeholders. Based in Copenhagen, he combines rigorous academic training with practical engineering, often translating political and social datasets into actionable insights.
8 years of coding experience
5 years of employment as a software developer
Political Science Statskundskab, Political Science Statskundskab at Københavns Universitet - University of Copenhagen
English, Danish
Github Skills (2)
imap1
imap-client1
Programming languages (1)
Github contributions (5)
StevenLarsen89/Race-AI
May 2019 - May 2019
Contributions:20 commits, 16 pushes, 1 branch in 7 days
kristianstendorffnielsen/Speciale
Feb 2018 - Jul 2018
Contributions:3 pushes in 4 months
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