Juan Mateos-garcia is an impact-focused data analyst with over a decade of experience measuring the social and economic effects of innovation and AI. Currently at DeepMind, he leads work quantifying the societal impact of AI systems, drawing on a background in innovation policy, data science and economics from roles at Nesta and research positions. He has built data platforms and mapping projects—often using Python and R—to illuminate innovation ecosystems, creative industries and regional clusters, and has translated technical findings into policy recommendations. Juan combines academic rigor (Google Scholar profile) with practical analytics delivery, having led projects that leveraged unconventional web datasets like Meetup, GitHub and Twitter to reveal hidden dynamics. Based in the UK, he blends hands-on data engineering, evaluation methods and strategic advising to help institutions adopt evidence-driven approaches to innovation policy.
10 years of coding experience
3 years of employment as a software developer
Data science Specialisation, Data Science / Data Analytics / Machine Learning, Excellent, Data science Specialisation, Data Science / Data Analytics / Machine Learning, Excellent at General Assembly
Science and Technology Policy, Economics of Innovation, Distinction, Science and Technology Policy, Economics of Innovation, Distinction at University of Sussex
BSc, Economics, Distinction, BSc, Economics, Distinction at Universidad de Salamanca
Refactor of nestauk/industrial-taxonomy which upon completion will replace it.
Contributions:15 reviews, 48 commits, 10 PRs in 3 months
pythonrefactorindustrialcompletiontaxonomy
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