Sandro Pons is a strategy manager and quantitative researcher with a Ph.D. in Applied Mathematics and over a decade of experience translating advanced statistical and machine-learning theory into production trading strategies. He combines deep theoretical grounding in math, statistics and computer science with hands-on implementation skills in Python and C#, having moved from academic postdoctoral research into senior data science roles and quantitative strategy management at Voloridge. An author of 20+ peer-reviewed papers with an h-index of 11 and over 1,000 citations, Sandro brings a research-first mindset to real-world model development and validation. A Kaggle Master with a top-75 overall rank and multiple medals, he demonstrates both competitive applied ML skills and practical problem-solving under real-data constraints. Based in Florida, he specializes in designing, testing and refining statistical and ML methods for data-driven strategy innovation, often bridging complex signal models and efficient algorithmic implementations. Colleagues value his ability to distill theoretical insights into robust, production-ready systems that drive measurable alpha.
12 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of Münster
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at University of Havana
Contributions:7 commits, 2 pushes in 2 years 6 months
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