Summary
Ana Dias is a senior data scientist and educator with over a decade of experience in statistics and data science, holding a B.Sc. and M.S. in Statistics from UFMG. She builds end-to-end predictive and prescriptive analytics—churn models, conversion optimization, and revenue forecasting—using Python, R, PySpark, Databricks, Azure and emerging LLM tools. Currently she splits her time between industry (Blip) and academia as a postgraduate statistics instructor at PUC Minas, translating rigorous statistical methods into practical business decisions. Founder of Descomplica Estatística, she also focuses on demystifying statistics for broad audiences, combining teaching and product-focused analytics. Her background includes performance intelligence roles and contributions to local data communities like R-Ladies Belo Horizonte, reflecting both applied impact and grassroots mentorship. Based in Minas Gerais, she stands out for pairing formal research training with hands-on deployment of ML solutions that drive measurable business outcomes.
10 years of coding experience
2 years of employment as a software developer
BACHAREL, BACHAREL at UFMG - Universidade Federal de Minas Gerais
Aprendizagem de Processos Administrativos, Aprendizagem de Processos Administrativos at SENAI /BETIM
Mestrado em Estatística, Mestrado em Estatística at Universidade Federal de Minas Gerais
Portuguese, English