Arturs Valujevs is a data scientist and generalist with nearly a decade of hands-on experience building end-to-end ML solutions, data architectures, and forecasting systems across finance, maritime logistics, and public policy. He has led model development and MLOps at Intrum, designed cloud-native geospatial data pipelines and routing algorithms for Marine Digital, and currently applies his expertise at EcoFinance. His strengths span time series and macroeconomic forecasting, spatial raster/vector processing, graph-based optimization, and production-grade tooling—from FastAPI backends to serverless weather data storage. He excels at prototyping R&D ideas and scaling them from local experiments to cloud deployments, and has a track record of improving model production speed and monitoring practices. Comfortable mentoring and translating technical work to stakeholders, he also brings uncommon domain breadth combining policy-level macroeconomics experience with practical ML in logistics and finance.
10 years of coding experience
9 years of employment as a software developer
Master's Degree Economics, Master's Degree Economics at Latvijas Universitate
Contributions:21 commits, 1 PR, 14 pushes in 1 year 8 months
survivalcode-generatordigitsurvival-game
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