Caroline Dantas is a data developer with 9 years of experience building Python-driven data pipelines and AI models, currently contributing to Pagar.me from São Paulo. She blends practical data engineering—ETL refactoring, internal libraries and data warehouse maintenance—with statistical and unsupervised learning expertise honed in financial services. With a master's focus in computer science fundamentals and a background in neuroscience-inspired AI, she brings a research-minded approach to model design and interpretability. Caroline is also active in the scientific Python community as a SciPy-Sampa co-organizer, showing a commitment to knowledge sharing and open collaboration. Her career path reflects both hands-on production delivery and a continual push toward academically grounded innovation.
9 years of coding experience
Mestrado em Ciências da Computação, Fundamentos da Computação, Mestrado em Ciências da Computação, Fundamentos da Computação at Universidade Federal do ABC - UFABC
Banco de dados, Banco de dados at Universidade Cruzeiro do Sul
Contributions:81 pushes, 2 branches in 2 years 8 months
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