Summary
Vitor França is an R&D-focused data scientist and software engineer with 8 years of research and industry experience, currently developing scalable data solutions at the Data Science Laboratory (Daslab) in partnership with Petrobras. He combines a Master's in Data Science with hands-on work in computer vision, image processing, unbalanced learning, NLP embeddings and lawsuit prediction to turn complex research into production-ready analytics. His background includes applied projects for energy-consumption image auditing and judicial outcome prediction, demonstrating an ability to bridge academic research and real-world business problems. At Callink he built classification and grouping systems for transcribed calls using Word2Vec/Doc2Vec, showing practical NLP deployment experience. Comfortable across the stack, he focuses on creating reproducible, scalable pipelines that accelerate value from data while still contributing to open-source work on GitHub.
8 years of coding experience
3 years of employment as a software developer
Pontifical Catholic University of Rio de Janeiro
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at UFMA - Universidade Federal do Maranhão
English, Portuguese