Jonas Øren
Dataanalytiker
Oslo, Norway
Summary
👤
Senior🎓
Top SchoolJonas Øren is a data analyst based in Oslo with 11 years of professional experience combining statistical rigor and practical data product delivery. With a Master's in Statistics from UiO, he has built predictive models, analytical pipelines, and actionable insights for media and insurance businesses, and now applies that expertise at Protector Forsikring. He brings hands-on coding experience—evidenced by contributions to the popular libvips image library where he implemented and optimized color-space conversions—showing comfort with low-level, performance-sensitive engineering. Jonas pairs teaching and mentoring experience from university courses with a habit of self-directed learning across data science, cloud training, and experimental model work. Colleagues rely on him for responsible ownership of analytical projects and clear presentations of complex results. He blends academic depth with practical delivery, often tackling the less obvious engineering details that make models reliable in production.
11 years of coding experience
Årsstudium, Musikk, Årsstudium, Musikk at Høgskolen i Bergen (HiB)Bachelor, Statistikk, Data Science, B, Bachelor, Statistikk, Data Science, B at Universitetet i Oslo (UiO)Automatiker (industrial automatician), Fagbrev (certificate), Automatiker (industrial automatician), Fagbrev (certificate) at Kristiansund VGSRealfag (High school science curriculum), Realfag (High school science curriculum) at Self-educatedÅrsstudium, Musikk, Årsstudium, Musikk at Universitetet i Agder (UiA)Årsstudium, PSYCHOLOGY, Årsstudium, PSYCHOLOGY at Universitetet i Bergen (UiB)
Stackoverflow
21reputation
0reached
1answer
0questions
Github Skills (18)
debugging10
debug10
image-processing10
c1110
color-conversion10
c1710
colorspace10
optimization10
data-structure9
algorithm9
algorithms9
cpp9
data-structures9
statsmodels6
statistics6
Programming languages (11)
Github contributions (5)
libvips/libvips
Jun 2015 - Jun 2015
A fast image processing library with low memory needs.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:35 commits, 1 PR, 78 comments in 11 days
Contributions summary:Jonas primarily focused on implementing and optimizing color space conversions within the libvips image processing library. Their work included the initial implementation of sRGB to HSV conversion, followed by iterative refinements, bug fixes, and performance optimizations. The contributions also involved addressing typos, missing semicolons, and casting issues, demonstrating a deep understanding of the underlying code. The user also added color space conversions and made related adjustments.
memorybmpimage-serverimagemagickjpeg
Jondeen/VipsML
Mar 2019 - Mar 2021
Vips frameworks for Machine Learning
Contributions:9 commits, 4 PRs, 14 pushes in 2 years
frameworkspythonvipsmachine-learning
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