Pedro Ribeiro is a data scientist with 9 years of experience combining a BSc in Statistics (UFMG) and an MBA in Data Science & Analytics (USP) to turn complex data into business-ready insights. He has applied statistical modeling, machine learning and robust data engineering across healthcare, finance and corporate mobility, most recently joining Localiza&Co after analytic roles at Unimed Federação Minas, Banco Semear and Fiocruz. Fluent in Python, R and SQL with experience in PySpark, PyTorch/TensorFlow and CI/CD, he builds quantitative tools and dashboards that influence executive decision-making and KPI governance. Pedro’s background in both rigorous academic statistics and business-focused MBA training lets him bridge technical depth with strategic impact, often translating models into operational credit and health-policy solutions. Based in Minas Gerais, he maintains an active GitHub profile that reflects practical ML and data-engineering work complementary to his industry projects.
8 years of coding experience
Master of Business Administration - MBA Especialização/MBA Data Science e Analytics, Master of Business Administration - MBA Especialização/MBA Data Science e Analytics at MBA USP/Esalq
Bacharelado em Estatística Estatística, Bacharelado em Estatística Estatística at Universidade Federal de Minas Gerais
Contributions:13 pushes, 1 branch in 1 year 6 months
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