Summary
Imola Csóka is a Senior Data Scientist with a PhD in Economics and seven years of cross-sector experience turning complex data into actionable insights across academia, automotive, and consulting. She has led AI strategy and delivery at scale—building a 30+ use-case portfolio and standardizing idea-to-POC workflows in automotive manufacturing—while also developing and deploying ML solutions on Databricks and integrating CRM data. An experienced instructor, she designs and teaches hands-on courses from coding basics to advanced ML for audiences ranging from undergraduates to executives, bringing pedagogy into team-level knowledge transfer. Her toolkit spans statistical modeling, machine learning, full-stack data workflows (Python, SQL, git), and visualization (Power BI, Tableau), paired with applied economics expertise for causal and policy-relevant analysis. Comfortable in international, cross-functional teams, she combines internal consultancy and technical delivery with a knack for simplifying stakeholder conversations around model value and governance. Open to senior hands-on data science roles (remote or hybrid), she especially enjoys tackling production-ready ML problems that bridge economics and operational impact.
7 years of coding experience
8 years of employment as a software developer
Economics, Economics at Central European University
Révai Miklós Gimnázium és Kollégium
PhD Economics and Business Informatics, PhD Economics and Business Informatics at Corvinus University of Budapest
English, German, Chinese, Hungarian