Bárbara Lerbach is a data scientist and statistician with a decade of experience applying statistical modeling and machine learning across industry, environment, mining and agribusiness. She has moved from hands-on research on air pollution and public-health time series to delivering production-ready predictive solutions and mentorship at IBM, and now drives data initiatives at Grupo Boticário. Comfortable with the full analytics lifecycle, she blends web scraping, data engineering and visualization with rigorous experimental design to turn complex public and enterprise datasets into actionable insights. She has formal training in statistics and an M.Sc. in Computer Science from UFMG, and has taken on people-management responsibilities coaching teams of junior to senior data scientists. Based in Espírito Santo, Brazil, Bárbara pairs domain breadth—from state-level industry observatories to large bank and mining clients—with a strong commitment to evidence-based decision making.
10 years of coding experience
5 years of employment as a software developer
Pós-graduação Ciência de Dados e Big Data, Pós-graduação Ciência de Dados e Big Data at PUC Minas
Curso Básico de Inglês, Curso Básico de Inglês at Centro de Estudo de Línguas do Centro Federal de Educação Tecnológica do Espírito Santo
Bacharelado Estatística, Bacharelado Estatística at Ufes - Universidade Federal do Espírito Santo
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