Summary
Arnaldo Gunzi is a Senior Staff Data Science leader with over a decade of experience translating advanced mathematics, machine learning and operations research into measurable business value, having delivered 200+ projects that generated over R$180M. He currently solves large-scale logistics and ETA prediction challenges at Stone while teaching statistics, calculus and optimization at XP Educação and advocating quantum computing as an IBM Qiskit Advocate. His work spans predictive analytics, deep learning, discrete-event simulation and combinatorial optimization, implemented with tools from Python and TensorFlow to Gurobi, AIMMS and Qiskit. Comfortable briefing C-suite stakeholders and leading high-performance technical teams, he pairs hands-on modeling with strategic execution across supply chain, forestry planning and industrial optimization problems. A former aeronautical infrastructure engineer with an MSc in Electronic Engineering and MITx training in quantum algorithms, he brings a rare mix of engineering rigor, academic teaching and practical industry impact.
10 years of coding experience
5 years of employment as a software developer
Bachelor, Aeronautic Infra Structure Estructure Engineering, Bachelor, Aeronautic Infra Structure Estructure Engineering at Instituto Tecnológico de Aeronáutica - ITA
MBA - Project Management, MBA - Project Management at Fundação Getulio Vargas
Professional certificate, Quantum computing, Professional certificate, Quantum computing at MIT xPRO
English, Japanese