Edvard Lindelöf

Data Scientist

Gothenburg, Sweden
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Summary

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Senior
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Top School
Edvard Lindelöf is a data scientist and engineering physicist with 10 years of experience helping organizations make ML and analytics production-ready. He has driven data pipeline and model validation improvements across automotive electrification at Volvo, clinical-NLP robustness at AstraZeneca, and analytics platform work for Sweden’s central bank, blending research-grade deep learning with production engineering. Comfortable both as a consultant and in-house contributor, he emphasizes code architecture, traceability, and tailored best practices that scale teams’ capabilities. His academic background in complex adaptive systems and engineering physics informs a systems-level approach to data problems and occasional cross-disciplinary solutions. Based in Gothenburg, he combines scientific rigor with pragmatic delivery and a knack for turning experimental models into auditable, maintainable services.
code10 years of coding experience
job8 years of employment as a software developer
bookMechatronics, Robotics, and Automation Engineering, Mechatronics, Robotics, and Automation Engineering at Tohoku University
bookMaster of Science (M.Sc.), Complex Adaptive Systems, Master of Science (M.Sc.), Complex Adaptive Systems at Chalmers University of Technology
bookBusiness Administration, Management and Operations, Business Administration, Management and Operations at University of Gothenburg
languagesEnglish, Swedish, Italian
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Github Skills (36)

observation10
dagster10
data-collection10
operation10
python10
data-science10
airbyte10
statistics10
metadata10
analytics10
scheduler10
etl10
workflow-automation10
mlops10
orchestration10

Programming languages (2)

JavaScriptPython

Github contributions (5)

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Contributions:10 commits, 7 pushes, 3 comments in 7 months
Contributions:23 commits, 1 push in 2 years 2 months
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Edvard Lindelöf - Data Scientist