Alison Ribeiro is a data scientist with 8 years of experience, holding a Computer Science degree from Universidade Federal de Goiás and an MBA in Data Modeling from Faculdade VINCIT. Currently at Efí Bank, she builds and orchestrates anti-fraud microservices, blending rule-based systems with ML/DL models using AWS, FastAPI, MySQL/Postgres and OpenSearch for real-time detection. Her background includes applied credit solutions at EY and data intelligence work at Trinus, where she translated analytics into product-facing dashboards and predictive models. Recognized as a standout student and published in sentiment analysis and machine learning, she brings strong Python, statistics and clean-architecture discipline to production pipelines. Pragmatic and research-minded, Alison combines academic rigor with hands-on engineering to deliver fast, maintainable fraud-detection systems that measurably reduce risk.
8 years of coding experience
Bacharelado, Computer Science, Bacharelado, Computer Science at Universidade Federal de Goiás
Pós-graduação Lato Sensu - MBA, Data Modeling/Warehousing and Database Administration, Pós-graduação Lato Sensu - MBA, Data Modeling/Warehousing and Database Administration at Faculdade VINCIT
Contributions:19 pushes, 1 branch in 2 years 7 months
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