Tapio Räsänen
Machine Learning Engineer
Helsinki, Finland
Summary
👤
Senior🎓
Top SchoolTapio Räsänen is a machine learning engineer and senior researcher with 11 years applying microeconometrics, microsimulation and register-based data analysis to family policy, employment and health research. Holding a Ph.D. in economics, he has led microsimulation development at Kela and Statistics Finland, combining rigorous causal inference with practical model refactoring and production-ready code. His work focuses on how childbirth and policy interact with employment, earnings and gender gaps, often revealing unintended consequences of social programs. Comfortable bridging statistics, computer science and policy, he pairs MSc-level training in statistics and additional computer science studies with hands-on data engineering experience. Notably, his background includes seasonal self-employment in forestry, reflecting a pragmatic, results-driven work ethic outside academia.
11 years of coding experience
9 years of employment as a software developer
Master of Science (MSc), Statistics, Master of Science (MSc), Statistics at University of Eastern FinlandOpen Studies, Information and Communication Techology, Open Studies, Information and Communication Techology at Metropolia AmmattikorkeakouluEconomics, Accepted with distinction (kiittäen hyväksytty), Economics, Accepted with distinction (kiittäen hyväksytty) at University of JyväskyläOpen Studies, Computer Science, 5/5, Open Studies, Computer Science, 5/5 at Joensuun yliopisto
English, Finnish, Japanese, SwedishGithub contributions (5)
RasanenTapio/RasanenTapio
Dec 2022 - Oct 2024
Contributions:5 pushes, 1 branch in 1 year 10 months
tarasane/UEF-Tietava-Experiment
Jan 2015 - Jan 2015
Contributions:4 PRs, 17 pushes, 2 branches in 19 days
analyticsmachine-learning
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