Rafael Dias is a Senior Data Scientist and Data Consultant based in São Paulo with nine years of hands-on experience building production-grade backend, ETL and data warehousing solutions and leading cross-functional teams. Trained as a Computer Engineer at Unicamp, he combines deep ML expertise—from semi-supervised learning on highly imbalanced mobile and financial datasets to real-time anomaly detection and computer vision—with practical engineering skills in feature stores, BigQuery and cloud-deployed pipelines. He has led analytics programs for client acquisition, credit scoring, fraud detection and CRM optimization, and previously managed large IT service teams and SLAs at IBM, bringing strong service-management and operational rigor to data projects. Comfortable on both research and delivery fronts, Rafael often translates business roadmaps into reproducible ML pipelines and meaningful feature engineering that directly drive activation and engagement metrics. An English-fluent, international project veteran, he pairs process disciplines (Agile, Lean, Six Sigma, ITIL) with a developer’s sensibility for scalable, optimized systems.
Contributions:13 PRs, 9 pushes, 6 branches in 1 year
restrest-apidjangodjango-rest-frameworkdocker
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