Summary
Nicolás Sandller is a data scientist with a decade of experience building data pipelines, experimenting on user behavior, and deploying predictive and causal models across marketplaces, ad-fraud detection, and energy systems. He has led end-to-end data science efforts—from founding analytics practices and redesigning data warehousing to shipping real-time fraud detection and marketplace recommendation systems—at startups and large firms including Amazon and ENERGY POOL. Comfortable with high-frequency network data and experiment-driven product work, he blends statistical rigor, causal inference, and practical engineering to move models into production. Fluent in both product strategy and hands-on implementation, he has reduced costs and improved efficiency through anomaly detection, optimization of marketplace dynamics, and FX hedging models. Based in Tokyo, he combines a finance-focused graduate background with startup founder experience, bringing a curious, problem-first mindset to complex, cross-disciplinary problems.
11 years of coding experience
7 years of employment as a software developer
International Baccalaureate (For IBO) and Argentine Baccalaureat in natural Sciences, Chemistry, Physics and Mathematics., International Baccalaureate (For IBO) and Argentine Baccalaureat in natural Sciences, Chemistry, Physics and Mathematics. at St John's School
Exchange Studies, Bachelor of Arts in Economics, Finance, Exchange Studies, Bachelor of Arts in Economics, Finance at University of Toronto
Master of Science in Finance - (thesis pending), Quantitative Methods of Finance, Class grade average: 8.20/10, Master of Science in Finance - (thesis pending), Quantitative Methods of Finance, Class grade average: 8.20/10 at Universidad Torcuato Di Tella
Bachelor of Arts in Economics, Minor in Statistics, Thesis Grade: 8/10, Bachelor of Arts in Economics, Minor in Statistics, Thesis Grade: 8/10 at Universidad Torcuato di Tella
French, English, Spanish