Summary
Gustavo Van Erven is a Chief Data Scientist with 11 years of experience applying data science, databases and infrastructure to improve public transparency and detect fraud at Brazil’s Controladoria-Geral da União. Trained as a physicist with a master’s in computer science and ongoing doctoral studies, he blends rigorous research instincts with hands-on skills in Cloudera, NoSQL graph modeling, SAN/NAS administration and web-backed open data platforms. He has taught computer science at university level, introducing agile software engineering, TDD/BDD and practical projects stored on GitHub. Comfortable spanning from low-level systems and network management to advanced data mining and operationalizing access-to-information laws, he focuses on auditable, production-ready solutions for public sector accountability.
11 years of coding experience
2 years of employment as a software developer
Data Science Data Processing and Data Processing Technology/Technician, Data Science Data Processing and Data Processing Technology/Technician at Le Wagon
Master's degree computer science Computer Software Engineering and Databases, Master's degree computer science Computer Software Engineering and Databases at Universidade de Brasília
English