Summary
Mariana Silva is a Data Scientist and PhD candidate in Computer Science at UFMG with 10 years of experience applying machine learning, data mining, and NLP to real-world problems. She has led multidisciplinary research projects detecting fraud in public tenders for the Ministério Público de Minas Gerais and currently manages research on personalized language models, setting protocols, evaluation metrics, and publishing results. Her work spans building production-ready APIs and scalable ML pipelines as well as probing sociotechnical issues—most recently detecting gender bias in Portuguese literature. Known for bridging rigorous academic methods with practical auditability, she has moved from experimental graphene data management to high-impact public-sector analytics. Based in Minas Gerais, Brazil, Mariana combines deep technical expertise with a track record of delivering transparent, evaluable solutions that inform policy and oversight.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Computer Scienc, Bachelor of Science - BS, Computer Scienc at Dublin Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidade Federal de Minas Gerais
Portuguese, English, Spanish