Raniere Ramos
Coordenador De Data Science
Rio de Janeiro, Brazil
Summary
👤
Senior🎓
Top SchoolRaniere Ramos is a data science leader and statistician with over a decade of experience translating complex data into business impact across media, retail and healthcare. As Coordenador de Data Science at Editora Globo he rebuilt teams and governance post‑merger, now leading an MVP GenAI program spanning 11 countries to scale responsible AI in editorial workflows. Previously at Americanas S.A. he drove ML lifecycles, forecasting models and a Buy Box platform that influenced billions in GMV, while delivering process improvements that cut costs and boosted productivity. He combines rigorous statistical training with hands‑on engineering in SQL, Python and GCP, and a proven track record in mentoring, data literacy programs and productizing analytics. A prolific communicator outside the office, he authors popular statistical content and teaches data science, reflecting a talent for making technical ideas accessible. Rare among leaders, he pairs operational rigor in MLOps and cost optimization with deep domain experience in content and retail ecosystems.
11 years of coding experience
1 year of employment as a software developer
Graduação, Statistics, Graduação, Statistics at Universidade Estadual Paulista 'Júlio de Mesquita Filho'Técnico em Processamento de Dados, Information Technology, Técnico em Processamento de Dados, Information Technology at Colégio Politécnico Bento QuirinoGestão em Serviços de Saúde, Business Administration and Management, General, Gestão em Serviços de Saúde, Business Administration and Management, General at FAE Centro Universitário
Portuguese, English
Github Skills (4)
science5
python4
data-science3
machine-learning3
Github contributions (5)
RaniereRamos/data-scientist
Jul 2016 - Jun 2020
Contributions:41 commits, 2 PRs, 39 pushes in 3 years 11 months
pythonkeepdata-science-specializationsciencedata-science
RaniereRamos/Consultoria
Feb 2015 - Jul 2021
Contributions:6 commits, 5 pushes in 6 years 6 months
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