Marcelo Ribeiro

Senior Data Scientist Acquirer Fraud Prevention

Rio de Janeiro, Brazil
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Summary

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Senior
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Top School
Marcelo Ribeiro is a Senior Data Scientist with nine years of experience applying statistics and machine learning to solve real-world problems across fintech, real estate, IoT, e-commerce and logistics. He has driven production-ready solutions at companies like Nubank, Loft and IBM, specializing in fraud prevention, city-level pricing and predictive maintenance using Databricks, BigQuery, Azure/GCP/AWS and modern ML stacks (Scikit-learn, PyTorch, TensorFlow). Marcelo combines strong engineering practices (OOP, modularization, CI with GitHub Actions) with rigorous validation and impact analysis, having demonstrated multi-hundred-thousand-dollar annual savings on IoT projects and large accuracy improvements in product models. Comfortable collaborating with data engineers, MLOps and product teams, he blends academic training in mathematical modeling with hands-on deployment experience. Based in Rio de Janeiro, he brings a rare mix of cross-domain breadth and production-focused depth that consistently improves maintainability and business outcomes.
code9 years of coding experience
job11 years of employment as a software developer
bookMaster's degree Mathematical Modeling, Master's degree Mathematical Modeling at FGV - Fundação Getulio Vargas
bookMaster's degree Political Science and Government, Master's degree Political Science and Government at UERJ
bookPontifical Catholic University of Rio de Janeiro
languagesEnglish, French, Portuguese
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Github Skills (17)

modeling5
topic-modeling5
cryptocurrency4
trading4
bitcoin4
finance4
crypto4
python4
nlp4
binance3
algorithmic-trading3
ocr3
trading-bot3
cryptocurrencies3
quora2

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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Marcelobbr/thesis

Feb 2019 - Apr 2021

Contributions:86 commits, 64 pushes, 1 branch in 2 years 2 months
Contributions:57 commits, 53 pushes, 2 comments in 9 months
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Marcelo Ribeiro - Senior Data Scientist Acquirer Fraud Prevention