Guillermo Lahuerta is a Data Scientist based in Barcelona with 8 years of experience and a 5+ year focus on machine learning and optimization across travel and on-demand marketplaces. He currently applies ranking and revenue-aware ML in Skyscanner’s Hotels vertical and previously delivered recommendation, supply-demand optimization, and courier-classification models at Glovo across multiple domains. His background in civil engineering and an MSc in Data Science gives him a pragmatic, systems-oriented approach to modeling and optimization problems. He has experience turning academic R&D (tender winner and cost prediction) and bioinformatics work into production-ready solutions, reflecting a comfort with both structured industry data and experimental pipelines. Known for balancing user relevance with business objectives, he combines algorithmic rigor with operational impact in large-scale consumer platforms.
Contributions:54 pushes, 1 branch in 1 year 11 months
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