Manoel Júnior is a Data Scientist with 11 years of experience combining academic rigor (MSc and BSc in Computer Science from UFMG) and hands-on engineering across analytics, forecasting, pricing, and AI-driven solutions. He has a strong full-cycle practice from data engineering and ETL to model deployment and monitoring, having built churn, revenue prediction, anomaly detection models and LLM-based agents in production. Comfortable in both research and product environments, he blends software engineering standards (APIs, Docker, Kubernetes) with experimentation and storytelling to drive business outcomes. His background as a Computer Networks technician and early research on SDN and social media analysis gives him a rare cross-domain view that helps bridge infrastructure, data, and user-facing analytics. Currently applying these skills at Cosm, he focuses on scalable, reproducible data products that inform strategic decision-making.
11 years of coding experience
9 years of employment as a software developer
Técnico em Redes de Computadores, Tecnologia da Informação, Técnico em Redes de Computadores, Tecnologia da Informação at Centro Federal de Educação Tecnológica de Minas Gerais
Master's degree, Computer Science, Master's degree, Computer Science at Universidade Federal de Minas Gerais
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