Summary
Diego Pedregal is a Full Professor of Predictive Analytics based in Castile-La Mancha, Spain, with over two decades in academia and eight years framed as senior experience driving applied analytics initiatives. He leads PREDILAB at Universidad de Castilla-La Mancha, applying forecasting and predictive-maintenance methods across supply chain, energy, transport, hydrology and economic systems and advising institutions from the European Central Bank to national water and energy authorities. Technically fluent in Matlab/Simulink, he is the author of several Matlab toolboxes (SSpace, ECOTOOL, Captain) that encapsulate his research-to-practice approach. His work blends rigorous econometric and systems perspectives—rooted in a PhD in Economics and Public Finance training—with hands-on implementation for industry and public-sector partners. Less obvious: he bridges disciplinary divides by deploying the same predictive frameworks from electricity price forecasting to environmental hydrology, demonstrating versatility in transferring methods across domains.
7 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Economics and Business Administration, Doctor of Philosophy (PhD), Economics and Business Administration at Universidad Autónoma de Madrid
Master's degree, Public Finance, Master's degree, Public Finance at Spanish Fiscal Studies Institute
English, Spanish