Vojtěch Pacák is a Senior Data Scientist based in Prague with 7 years of experience applying Python-driven analytics, statistical modeling and machine learning to risk, finance and insurance problems across EMEA and SEA. He has built and deployed credit risk, CRM and collection segmentation models at scale, working with large transactional datasets, Spark/Hadoop ecosystems and production ML pipelines. Recently he has been designing LLM-powered solutions and retrieval/embedding pipelines, while mentoring junior analysts and transferring modeling best practices across teams. His background combines a formal education in economics and modeling from Charles University and Universidade do Porto with hands-on data engineering and distributed computing experience. Outside work he’s a practical L2 Linux admin who enjoys trains, mountains and photography—traits that hint at both technical curiosity and an eye for detail.
6 years of coding experience
4 years of employment as a software developer
Magistr (Mgr.), Business/Managerial Economics, Magistr (Mgr.), Business/Managerial Economics at Univerzita Karlova
Bachelor's degree, Ekonomie a finance, Bachelor's degree, Ekonomie a finance at Univerzita Karlova v Praze
Master Track in Modeling, Data Analysis and Decision Support, Master Track in Modeling, Data Analysis and Decision Support at Universidade do Porto
Keep it Simple Stupid Jamboree registration system. Testing version =>
Contributions:11 pushes, 1 branch in 1 month
keeptestingphpregistrationsystem-testing
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