Clébio Júnior is a data scientist with nine years of professional experience and over five years applying machine learning, NLP, and time-series techniques to solve real business problems. Based in Campos dos Goytacazes, Brazil, he has built production-ready solutions—credit scoring, sales forecasting, delivery delay prediction—and automated unstructured data extraction pipelines that combine OCR, regex and interactive SAS dashboards. He bridges academic rigor (Master’s in Natural Sciences and a physics background as a pre-university teacher) with hands-on engineering, notably integrating spaCy and Tesseract into end-to-end analytics workflows. Known for turning messy text and scanned documents into actionable insights, he focuses on delivering tools that improve operational decision-making and risk management.
9 years of coding experience
3 years of employment as a software developer
Master's Degree in Natural Sciences, Environmental Science, Master's Degree in Natural Sciences, Environmental Science at UENF - Universidade Estadual do Norte Fluminense
Graduation, Natural Sciences - Degree in Physics, Graduation, Natural Sciences - Degree in Physics at IFF - Instituto Federal Fluminense
Contributions:47 pushes, 1 branch in 3 years 4 months
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