Matas Gaulia is a Software Engineer II with 7 years of experience blending data science and software engineering across fintech and mobility teams at Uber and startups. Proficient in Python, R, SQL and Tableau, he focuses on quantitative finance, statistics and data mining to turn complex datasets into production-ready insights. His trajectory from quant researcher and data scientist roles in Vilnius to engineering positions in Amsterdam and Seattle demonstrates a strong track record of shipping analytical systems at scale. Known on GitHub as someone who “Quant everything,” he brings a research-minded approach to engineering problems and a knack for translating models into reliable software.
7 years of coding experience
3 years of employment as a software developer
Mykolo Biržiškos gimnazija
Bachelor's degree Data Science, Bachelor's degree Data Science at Vilniaus universitetas / Vilnius University
Contributions:53 pushes, 1 branch, 1 comment in 4 months
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