Pol Sanahuja is a Data Scientist with a PhD in Physics (Cosmology) and 12 years of experience applying rigorous scientific methods to real-world business problems. He moved from forecasting galactic recession velocities to building churn and loan-acceptance models, demand forecasts for energy distribution, and product recommendation and fraud-detection systems on Big Data platforms. Comfortable with end-to-end analytics, he blends statistical modelling, machine learning and clear result visualization to drive decision-making in finance, energy and retail. Based in Sant Cugat del Vallès, he brings academic rigor (CUM LAUDE) and a habit of translating complex phenomena into actionable forecasts—a skill honed studying the expanding Universe and now applied to customer and operational dynamics.
12 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, CUM LAUDE, Doctor of Philosophy (Ph.D.), Physics, CUM LAUDE at Universitat Autònoma de Barcelona
Contributions:16 commits, 2 PRs, 29 pushes in 4 years 10 months
centerraspberry-piraspberrytorrentmedia-center
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