Anders Baumann is a Data Science MSc graduate and consultant based in Oslo with 11 years of professional experience blending analytics, software development, and product-focused AI work. He has built production-ready ELT pipelines and Power BI dashboards at earlyWarning Insight, led fraud risk ML projects using deep and recurrent networks at B4 Investigate, and contributed front-end fixes and tests to the intercooler-js open-source project. Passionate about applying AI to solve practical problems, he created an AI-powered web app that reached 1,200 weekly requests and continues to evolve it via his portfolio. Anders combines strong academic results with hands-on engineering across Python, Azure/Fabric, and front-end JavaScript, and aims to scale his impact from data scientist to future CTO.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Data Science, 4.64 (5.00 scale), Master of Science - MS, Data Science, 4.64 (5.00 scale) at BI Norwegian Business School
Bootcamp, Bootcamp at University of San Francisco Master of Science in Data Science
Bachelor's degree, Business Analytics, 3.68 on a 4.00 scale, Bachelor's degree, Business Analytics, 3.68 on a 4.00 scale at Menlo College
Contributions:11 commits, 5 PRs, 28 comments in 11 months
Contributions summary:Anders primarily contributed to the front-end aspects of the intercooler-js project. Their work involved fixing bugs, adding new features, and refactoring existing code within the JavaScript codebase. They implemented and tested enhancements related to header processing, history management, and the use of `ic-push-url` within the application. Additionally, the user added and modified unit tests, ensuring the reliability of specific functionalities.
Contributions:54 commits, 38 pushes, 8 branches in 3 months
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