Fabio Natalini
Adjunct Professor at Publicis Media
Madrid, Community of Madrid, Spain
Summary
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Senior🎓
Top SchoolFabio Natalini is an applied data scientist and adjunct professor in Madrid with nine years of experience translating rigorous statistical research into business-ready machine learning and analytic solutions. Trained as a PhD in Forest Sciences, he moved from ecological and climate modelling to industry roles where he builds and deploys predictive models for marketing and banking, advising clients on investment ROI and media strategy. At Publicis Media he combines data-driven modelling with clear commercial rationale, and previously led ML projects at Grupo Solutio for Santander covering credit risk, recommendation and portfolio management. He also teaches marketing mix modelling at UNED and mentors master's students, blending academic precision with practical deployment and monitoring in production. An uncommon strength is his cross-domain fluency—bringing ecological time-series and spatial-statistics experience to improve robustness and interpretability of business models.
9 years of coding experience
5 years of employment as a software developer
Postgraduate Degree Data science with applications in economics and management, Postgraduate Degree Data science with applications in economics and management at Universidad Nacional de Educación a Distancia (UNED)Doctor of Philosophy (PhD) Forest Sciences and Biology, Doctor of Philosophy (PhD) Forest Sciences and Biology at Universidad de HuelvaMaster of Science (M.Sc.) Forest Management/Forest Resources Management, Master of Science (M.Sc.) Forest Management/Forest Resources Management at Università degli Studi della Tuscia
English, Spanish, ItalianProgramming languages (1)
Github contributions (5)
fabionatalini/miscellaneous
Apr 2020 - Aug 2022
Contributions:52 commits, 65 pushes, 1 branch in 2 years 4 months
fabionatalini/climate-data
Apr 2017 - Oct 2018
Contributions:32 pushes, 3 branches in 1 year 6 months
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