Summary
Allan Fenelon is a Data Scientist and Analista Administrativo with 9 years of experience applying Python, SQL and ML across industry and public health to build end-to-end data products. He combines data engineering, ETL, forecasting and LLM-driven automation to deploy production-ready pipelines, APIs and dashboards integrated with Oracle and MySQL systems. Key impacts include demand-forecast models for production planning and an LLM-based Root Cause Analysis that cut investigation time by 20%. At UFCA he turned disparate SUS datasets into a Data Lake and operational analytics that inform municipal health management and onco-demand forecasting. Currently completing a master’s in Sustainable Regional Development, he uniquely blends rigorous mathematical training with hands-on DevOps (Docker, CI/CD, Linux) to move models from prototype to service. Based in Ceará, Brazil, he focuses on scalable AI solutions that deliver measurable operational value in healthcare and Industry 4.0.
9 years of coding experience
Ensino Médio Profissionalizante (Pós-médio) Técnico em Redes de Computadores, Ensino Médio Profissionalizante (Pós-médio) Técnico em Redes de Computadores at EEEP Wellington Belém de Figueiredo
Mestrado em Desenvolvimento Regional Sustentável Tecnologia e Modelagem, Mestrado em Desenvolvimento Regional Sustentável Tecnologia e Modelagem at Universidade Federal do Cariri - UFCA
English, English, Spanish