Búgvi Magnussen

Data Scientist And Industrial PhD Fellow

Copenhagen, Capital Region of Denmark
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Summary

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Senior
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Búgvi Magnussen is a data scientist and Industrial PhD fellow based in Copenhagen with eight years of experience applying machine learning and software engineering to maritime and fisheries problems. He bridges applied research and production: at TORM he accelerates AI adoption in shipping while consulting to optimize fishing operations, and his background includes industrial software, data migration, and geometric algorithms. A fluent functional programmer and educator, he has taught advanced Scala and functional techniques at ITU and built production systems in C#, Kotlin, Python and TypeScript. Unusually, he combines rigorous CS training with a formal background in contemporary music, bringing creative pattern recognition and disciplined craft to complex data products.
code8 years of coding experience
job3 years of employment as a software developer
bookMaster of Science in Computer Science (Datalogi), Computer Science, Master of Science in Computer Science (Datalogi), Computer Science at IT-Universitetet i København
bookMusikalst Grundkursus (MGK), Music Performance, General, Musikalst Grundkursus (MGK), Music Performance, General at Tórshavn Music School
bookMathematics C-A, Mathematics, Mathematics C-A, Mathematics at KVUC
bookUpper Secondary School, General, Upper Secondary School, General at Føroya Studentaskúli og HF-Skeid
bookThe University of Melbourne
bookIndustrial PhD, Data Science, Industrial PhD, Data Science at Roskilde University
languagesDanish, English, faroese, Norwegian, Swedish
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Github Skills (20)

accessibility10
sarif10
testing10
axe10
monorepo10
json-ld10
wcag10
act10
typescript9
data-processing9
scale9
currency5
bank5
currency-converter4
currency-exchange-rates4

Programming languages (4)

TypeScriptJavaJavaScriptPython

Github contributions (5)

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Contributions:31 pushes, 1 branch in 8 months
Contributions:47 pushes, 1 branch in 1 month
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Búgvi Magnussen - Data Scientist And Industrial PhD Fellow