Martin Polanka is a data engineer with a decade of experience specializing in financial econometrics and machine learning on high-frequency data, now contributing to PwC’s Data Enablement team. He holds a master’s in Financial Markets and Data Analysis from Charles University, completed Erasmus+ studies in Sweden, and works fluently in English across international teams. Previously at Accenture he helped transform enterprise data architecture and cloud storage migrations while building analytics, dashboards, and advanced models during a four-year internship-to-analyst progression. A Databricks Certified Machine Learning Associate, he blends rigorous academic training with practical delivery of scalable data solutions for finance and enterprise clients. Notably, his background in both research-grade econometrics and hands-on cloud migrations enables him to bridge theoretical models and production-grade engineering.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Financial markets and data analysis, Master's degree, Financial markets and data analysis at Institute of Economic Studies, Faculty of Social Sciences, Charles University
CatUnicornKiller System itself with its one and only part... web pages.
Contributions:3 releases, 1 review, 4 PRs in 6 years 11 months
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