Summary
Thiago Barros is a Junior Data Scientist with eight years of hands-on experience building analytical solutions and end-to-end proof-of-concepts for public-sector and enterprise clients from a Computer Science background at Universidade de Brasília. At Vert, he combines SAS, Python and R with containerization and messaging systems to deliver real-time dashboards, fraud detection models and investigative environments that integrate camera feeds, OCR and geotagged data. He applies Design Sprint techniques to quickly surface problems and prototype practical tools—examples include tax-evasion invoice classification, automated judicial-document inspection with signature detection, and transit KPI visualizations for Rio de Janeiro. Comfortable across the stack, he has implemented microservices consuming AmazonMQ/RabbitMQ and relational stores, and built reactive web flows that automate public registries using OCR and web crawlers. Curious about applied analytics and process automation, he bridges technical execution with user-focused problem solving to speed decision-making in complex, regulated domains.
9 years of coding experience
2 years of employment as a software developer
Licentiate degree, Computer Science, Licentiate degree, Computer Science at Universidade de Brasília
Portuguese, English