Edoardo Vivo is a Data Scientist based in Madrid with 11 years of experience bridging academic research and industry practice, currently applying machine learning and statistical modelling at Real Madrid C.F. He holds a PhD in Mathematical Engineering—honored with an "Extraordinary Doctorate" prize—for work on stochastic partial differential equations modeling surface dynamics, and brings deep expertise in stochastic processes, inferential statistics and scientific computing. Edoardo has translated theoretical tools into predictive analytics and production-ready software using Python, Spark, R and C/C++, and has worked on data science projects at both a research institute and a top-tier sports organization. Equally comfortable with rigorous math and practical engineering, he often combines insights from statistical physics with scalable ML pipelines to tackle complex, real-world data problems.
11 years of coding experience
5 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Bachelor's degree, Physics, Bachelor's degree, Physics at Università degli Studi di Parma
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