Gabriel Preda

Gabriel was born in Bucharest, Romania, in 1967. He has a PhD in computational electromagnetics and started his career in academia in 1992. In 1999 he authored his first paper that used an Artificial Intelligence technique, Neural Networks, to solve inverse problems in Nondestructive Testing and Evaluation (NDT). Soon after that, he moved from academia to private research, and worked for few years as a researcher for a high-tech company in Tokyo. After he returned to Europe, in 2005, he co-founded two technology start-ups and has worked for few products companies or software services corporations in software development for more than 20 years, holding development and management positions.

Currently, Gabriel is a Principal Data Scientist at Endava, a software services company, working for a range of industries, from banking and insurance to telecom, logistics and healthcare. He is writing about advanced data analytics, geospatial analysis, natural language processing (NLP), and generative AI. He is a high-profile contributor in the world of competitive machine learning and currently one of the few triple Kaggle Grandmasters (in Datasets, Notebooks and Discussions).