Gabriel Novais
Data Scientist
Rio de Janeiro, Brazil
Summary
👤
Senior🎓
Top SchoolGabriel Novais is a Data Scientist and Machine Learning Engineer with a decade of experience building production-ready ML systems across e-commerce, fintech, and public-sector research. He has led fraud detection and anomaly detection initiatives at Mercado Libre, delivering cross-region models that improved ROC-AUC and reduced chargebacks, and now applies that expertise at Capgemini Engineering. Gabriel blends rigorous academic training (M.Sc. in Mathematical Modeling) and economics background with hands-on software engineering skills, shipping scalable pipelines, real-time monitoring, and graph-based analytics. He’s comfortable moving models from research to production—using tools like XGBoost, Vertex AI, MLflow and Docker—while partnering closely with security, product and risk teams. Beyond model building, he’s mentored teams, taught corporate data science programs, and led client-facing analytics projects that translated into measurable business impact. Based in Rio de Janeiro, he pairs academic rigor with practical ML engineering and a knack for translating complex signals (e.g., graph features and cross-region flows) into actionable detection systems.
10 years of coding experience
8 years of employment as a software developer
Master's degree, Mathematical Modeling, Master's degree, Mathematical Modeling at Fundação Getulio VargasMaster of Business Administration - MBA, Data Engineering, Master of Business Administration - MBA, Data Engineering at XP EducaçãoGraduate, Software Engineering, Graduate, Software Engineering at Instituto Infnet
English, Portuguese, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Programming languages (6)
Github contributions (5)
NovaisGabriel/MBA_ED
Jul 2022 - Aug 2022
Repositório destinado ao curso de MBA do IGTI/XPE em engenharia de dados.
Contributions:1 review, 76 PRs, 83 pushes in 1 month
igtipythondadosmbario
NovaisGabriel/Kaggle_Codes
Jul 2020 - Feb 2023
Repositório destinado ao armazenamento de códigos utilizados em competições do Kaggle.
Contributions:2 PRs, 4 pushes, 2 branches in 2 years 7 months
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