Summary
Mardônio França is a Data Scientist with 11 years of experience building data platforms and applied ML solutions across healthcare, utilities, and enterprise consulting in Brazil. He has progressed from systems analyst and programmer roles into senior data engineering positions before moving into data science, currently at Hapvida NotreDame Intermédica. His background blends rigorous physics training—including doctoral work in quantum computing, neural networks and Von Neumann entropy—with hands-on big data engineering, enabling him to translate complex models into production-ready pipelines. He’s delivered scalable data infrastructures at companies like Stefanini LATAM and Iguá Saneamento and has a track record of quickly adapting between research-driven projects and operational constraints. Based in Fortaleza, he pairs analytical depth with a creative bent—he lists poetry alongside physics—which helps him communicate technical insights to diverse stakeholders. This mix of academic rigor and practical engineering makes him adept at tackling high-impact, interdisciplinary data problems.
11 years of coding experience
10 years of employment as a software developer
Bacharelado, Física, Bacharelado, Física at Federal University of Ceara
Bacharelado, Ciência da Computação, Bacharelado, Ciência da Computação at Universidade Estadual do Ceará
Doutorado em Física, Computação Quântica, Redes Neurais e Entropia de Von Neumann, Doutorado em Física, Computação Quântica, Redes Neurais e Entropia de Von Neumann at Universidade Federal de Uberlândia - UFU
Portuguese, English