Olivér Kiss is a Senior Data Scientist based in Budapest with nine years of experience combining economic research and production-ready data engineering. He holds a PhD in Economics from CEU and has translated academic rigor into industry impact at Spreadmonitor and two PhD research internships at Microsoft. A prolific open-source contributor, he co-authored libraries such as PyTorch Geometric Temporal, KarateClub, and Little Ball of Fur, bridging graph ML and temporal modeling for practitioners. Comfortable moving models from research to deployed pipelines, he brings a rare blend of causal economic insight and hands-on engineering.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at Central European University
Bachelor's Degree, Applied Economics, Bachelor's Degree, Applied Economics at Corvinus University of Budapest
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