Victor Coscrato is an Associate Professor and researcher with eight years of experience at the intersection of statistics and AI, specializing in recommender systems and uncertainty estimation. He holds a PhD focused on recommender systems from University College Cork and a strong statistics background from UFSCar and ICMC-USP, combining theoretical rigor with applied data science. His work ranges from prototyping production-ready recommendation engines—having built a supplier recommender prototype during a short internship that exceeded expectations—to automating people-analytics processes in industry. Based in São Paulo, he bridges academic research and practical deployment, recently moving from a PhD and industry roles into a faculty position where he continues to develop knowledge and mentor the next generation. An understated strength is his consistent focus on uncertainty-aware recommendations, bringing more reliable and explainable decision-support to real-world systems.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at Instituto de Ciências Matemáticas e de Computação (ICMC) - USP
Doctor of Philosophy - PhD, Artificial Intelligence, PhD in the field of Recommender Systems, Doctor of Philosophy - PhD, Artificial Intelligence, PhD in the field of Recommender Systems at University College Cork
Master's degree, Statistics, Master's degree, Statistics at Universidade Federal de São Carlos - UFSCar Oficial
Contributions:63 pushes, 4 comments, 1 issue in 3 years 9 months
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