Oscar Litorell is a Data Scientist based in Gothenburg with nine years of technical experience and a strong academic background in engineering physics and complex adaptive systems from Chalmers. He combines hands-on skills in Python, CAE simulations (Elmer), parallel computing, and applied ML techniques including reinforcement learning and genetic algorithms from internships at Volvo Cars and other industry placements. Now at Endre, Oscar bridges research-minded curiosity with practical product work, having transitioned from a master's thesis intern to a data scientist role. He also has experience teaching and mentoring new students, reflecting clear communication skills alongside technical depth. His interests span AI/ML, mathematics, physics, finance and tech, and he emphasizes the playful, exploratory side of programming. An uncommon strength is his blend of simulation-driven engineering experience and formal study of complex systems, enabling him to tackle both modeling and data-driven problems.
9 years of coding experience
Upper Secondary School Diploma IT, Upper Secondary School Diploma IT at NTI Gymnasiet
Master of Science - MS Complex Adaptive Systems, Master of Science - MS Complex Adaptive Systems at Chalmers University of Technology
Business Administration, Business Administration at School of Business, Economics and Law at the University of Gothenburg
pug-compiler is used to simplify the creation of static web pages. It compiles websites written in pug to html, with all the features of pug such as templates and mixins.
Contributions:3 PRs, 3 pushes in 3 years 9 months
mixinspugjavascriptcompilercreation
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