Tommy Odland is a Senior Consultant and applied mathematician based in Oslo with 11 years of experience delivering end-to-end analytics, machine learning and optimization solutions across banking, industry and retail. He blends rigorous academic training (MSc in Applied and Computational Mathematics) with hands-on work from data collection and processing to mathematical modeling and production deployment. Tommy has commercial experience building regulatory AIRB models for banking and consulting broadly on data engineering and modeling, and he’s comfortable shipping practical, auditable solutions rather than just proofs-of-concept. He also contributes to open-source by improving documentation for widely used projects like pandas, underscoring a focus on clarity and accessibility. Colleagues describe him as someone who marries theoretical depth with pragmatic execution, often spotting implementation pitfalls early in a project.
11 years of coding experience
Bachelor of Engineering (B.E.), Subsea Technology - Operations and Maintenance, A, Bachelor of Engineering (B.E.), Subsea Technology - Operations and Maintenance, A at Bergen University College (HiB)
MSc Applied and Computational Mathematics, A, MSc Applied and Computational Mathematics, A at University of Bergen (UiB)
Prep. Course for Engineering Studies, Engineering, Prep. Course for Engineering Studies, Engineering at Universitetet i Stavanger / University of Stavanger (UiS)
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Technical Writer
Contributions:12 commits, 12 PRs, 18 comments in 2 months
Contributions summary:Tommy primarily focused on improving the project's documentation. Their contributions included fixing spelling errors, enhancing consistency, and adding more detailed information to the documentation files. The user also updated links and tutorials, indicating a focus on the clarity and accessibility of project information. These edits directly contribute to making the project more accessible and user-friendly for developers and users.
Contributions:66 commits, 71 PRs, 238 pushes in 4 years 11 months
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