Augusto Modesto is a senior data scientist with 12 years of technology experience and five years focused on AI and machine learning, currently building computer-vision and classification solutions for Banco do Brasil at Stefanini. Trained as a software engineer with a postgraduate degree in data science, he blends strong engineering practices — architecture documentation, Agile/Scrum, and software quality — with hands-on model development using Python, OpenCV, Keras and scikit-learn. His background includes applied public-sector research for the Brazilian federal government and pandemic-era health analytics for PAHO, showing a track record of turning complex public data into operational dashboards and automated services. Comfortable across the full ML lifecycle, he also implements APIs and scalable data pipelines and brings practical experience with both relational and NoSQL stores. Notably, he pairs rigorous software engineering discipline with deployment-focused data science, making models work reliably in production environments.
12 years of coding experience
1 year of employment as a software developer
Especialização, Ciência de Dados, Especialização, Ciência de Dados at IESB
Bacharelado em Engenharia, Computer Software Engineering, Bacharelado em Engenharia, Computer Software Engineering at Universidade de Brasília
Contributions:15 commits, 8 pushes, 1 branch in 1 year
financialmanagement-systemphpfinancial-management
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Augusto Modesto - Cientista De Dados SR at Stefanini Brasil