André Rocha is a data scientist with nine years of experience applying computational mathematics, spatial statistics and optimization to problems in climate risk, logistics and geoprocessing. He blends hands-on systems development in Python and C++ with domain expertise in GIS, building optimization architectures and climate vulnerability models that translate business rules into automated, testable workflows. A transdisciplinary collaborator and active member of Python, Data and GIS communities, he often mediates between teams to turn complex requirements into reproducible analyses and web maps. His academic training—from computational mathematics to modeling at Sorbonne and a MSc in Mathematical and Computational Modeling—underpins a pragmatic focus on data quality, metadata structuring and spatial database design. Notably, he pairs research-driven approaches with production delivery, moving prototypes into optimization systems for multimodal logistics and climate resilience.
10 years of coding experience
3 years of employment as a software developer
Master 2 (M2), Mathématiques de la Modélisation, Master 2 (M2), Mathématiques de la Modélisation at Sorbonne Université
Master of Science, Mathematical and Computational Modeling, Master of Science, Mathematical and Computational Modeling at Centro Federal de Educação Tecnológica de Minas Gerais
Especialização em Geoprocessamento, Mineração de Dados Espaciais, Especialização em Geoprocessamento, Mineração de Dados Espaciais at Universidade Federal de Minas Gerais / UFMG
Bachelor's degree, Computational Mathematics, Bachelor's degree, Computational Mathematics at Universidade Federal de Minas Gerais
Contributions:2 pushes, 1 branch in 3 years 7 months
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