Niclas Kjäll-ohlsson is a Principal Data Scientist based in Oslo with 11 years of experience building large-scale, cost-effective machine learning and analytics solutions across energy, supply chain, construction and enterprise software. He blends hands-on software engineering (Python, Kubernetes, Neo4j) with product-focused data science—designing knowledge graphs, IFC-based BIM integrations, and operational optimization systems that cut time-to-market, emissions and costs. At Microsoft and Equinor he led ML projects spanning M365 at scale, wind-farm production optimization, workforce and logistics planning, and AutoML pilots, while earlier roles at Cisco and Tandberg produced award-winning supply-chain and recommender systems. Known for industrializing data value chains, he pairs deep technical breadth with practical delivery: from JDBC drivers and data lakes to parametric design tooling and production monitoring. A former course advisor in data mining and holder of an M.Sc. in Artificial Intelligence, he brings an engineer’s curiosity to strategic, cross-disciplinary problems.
10 years of coding experience
11 years of employment as a software developer
IT Candidate Information Technology, IT Candidate Information Technology at Norwegian School of Information Technology (NITH)
General and Business studies, General and Business studies at Ås Upper secondary school
Cisco Data Science Program (M.Sc. equivalent) Statistics/Data Science, Cisco Data Science Program (M.Sc. equivalent) Statistics/Data Science at North Carolina State University
M.Sc Artificial Intelligence, M.Sc Artificial Intelligence at City St George’s, University of London
Bachelor of Science - BS Information Technology, Bachelor of Science - BS Information Technology at Swinburne University of Technology
Contributions:13 commits, 11 pushes, 1 branch in 4 years 8 months
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