Carlos Barbosa
Data Scientist II Antifraud Analytics Claro Brasil
São Paulo, Brazil
Summary
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Senior🎓
Top SchoolCarlos Barbosa is a Data Scientist II specializing in antifraud analytics at Claro Brasil, combining 10 years of experience with a strong research background in astrophysics. He transitioned from a PhD and postdoctoral career studying galaxies to building production-grade anti-fraud models and anomaly detection tools for a major telco, bringing Bayesian modeling and machine learning rigor to business problems. Carlos has a track record of developing advanced Python software for photometric and spectroscopic analysis and applying those quantitative skills to e-commerce and customer analytics. He also holds an MBA in Digital Business, which helps bridge technical solutions and strategic decision-making. Based in São Paulo, he blends academic curiosity with pragmatic engineering, often drawing on techniques from astronomy to tackle noisy, large-scale datasets.
10 years of coding experience
5 years of employment as a software developer
Master of Business Administration - MBA, Digital Business, 10/10, Master of Business Administration - MBA, Digital Business, 10/10 at MBA USP/EsalqUniversity of São Paulo
Portuguese, English, Spanish
Github Skills (8)
bayesian7
cosmology7
density-estimation7
stellar6
probabilistic-models5
python5
modeling5
kinematics5
Programming languages (1)
Github contributions (5)
cebarbosa/paintbox
Sep 2016 - Aug 2021
A Python collection of Bayesian models for the study of kinematics and stellar populations in galaxies.
Contributions:9 releases, 218 commits, 239 pushes in 4 years 11 months
galaxieskinematicspythondensity-estimationstellar
cebarbosa/splus_ifusci
May 2021 - Jul 2021
Contributions:38 commits, 17 pushes, 1 branch in 2 months
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