Summary
Manu García is a Data Science and AI engineering leader with 8+ years of experience building production-grade analytics and agentic AI solutions for finance, utilities, pharma and consumer goods. He combines a rigorous academic background (MSc in Statistics for Data Science and ongoing PhD work in mathematical engineering) with hands-on delivery as a technical lead—driving end-to-end projects from optimization models and digital twins to generative-AI augmented segmentation and autonomous supply-chain agents. At Accenture he translated advanced analytics into scalable commercial assets and dramatic performance gains (e.g., ~95% runtime/memory reduction on a critical pharma optimizer), and now applies that expertise to national-scale challenges at Banco de España. He has repeatedly bridged research and product — from a social-media based consumer index in his undergrad thesis to water-network digital twins and multimillion-dollar client wins at Idrica. Known for leading teams of up to 10 engineers, he also speaks regularly at academic and industry forums, reflecting a talent for turning complex models into operational value. Based in Oregon/Spain, Manu blends economics, statistics and engineering to solve real-world decision problems with pragmatic, measurable impact.
8 years of coding experience
7 years of employment as a software developer
Advanced Expert, Business Administration and Finance, Advanced Expert, Business Administration and Finance at IES Mare Nostrum
Engineer's degree, Telecommunications, Engineer's degree, Telecommunications at Universidad Miguel Hernández de Elche
High School Diploma, Sciences, High School Diploma, Sciences at IES Cabo de la Huerta
Bachelor of Science - BSc, Economics, Bachelor of Science - BSc, Economics at Universitat d'Alacant
Charles III University of Madrid (Universidad Carlos III de Madrid)
Spanish, Catalan, English