Summary
Panos Papiotis is a Data Scientist with a PhD in Information and Communication Technologies and 11 years of experience translating academic research into industrial R&D, currently shaping data-driven products at Spotify from Barcelona. He combines strong statistical analysis, data warehousing, visualization, and machine learning expertise with a background in experimental design and multimodal time-series research from his PhD and postdoc work at Universitat Pompeu Fabra. Previously a senior data scientist at DEXMA, he has applied research-grade methods to energy management and product problems, and he co-created the S贸nar+D Innovation Challenge, bridging creative tech communities and industry. Comfortable moving between exploratory research and production analytics, he brings a rare blend of music-technology research acumen and practical experience shipping data solutions.
11 years of coding experience
7 years of employment as a software developer
B.Sc, Informatics, B.Sc, Informatics at Athens University of Economics and Business
Doctor of Philosophy - PhD, Information and Communication Technologies, Doctor of Philosophy - PhD, Information and Communication Technologies at Universitat Pompeu Fabra
English, Spanish, German, Greek