Summary
Roy Legziel is a Data Scientist based in Barcelona with 8 years' experience specializing in NLP, user modeling, and marketing analytics. He has built and deployed end-to-end ML solutions across travel, health, and adtech—most recently contributing to Skyscanner after optimizing campaign uplift and health-flag prediction models at Teladoc Health. His background includes language-model pipeline optimization and data curation at M47 Labs, and user trajectory clustering and prediction at Dephion, giving him a strong mix of production ML engineering and applied research. Roy pairs rigorous modeling (propensity/uplift, clustering) with pragmatic deployment skills to drive measurable business impact and improved user experiences. A former top-performing tech support agent, he brings a customer-centric perspective to ML product design that helps bridge technical work and user outcomes.
8 years of coding experience
4 years of employment as a software developer
BSc (Honours) Data Science and Artificial Intelligence, BSc (Honours) Data Science and Artificial Intelligence at Maastricht University
English, Hebrew