Natalia De Oliveira
Data Scientist
San Bruno, California, United States
Summary
👤
Senior🎓
Top SchoolNatalia De Oliveira is a data scientist with eight years of experience and a freshly completed PhD in Statistics and Machine Learning from Carnegie Mellon University, where her research tackled practical estimation of predictive risk and out-of-sample error. Now at Google, she blends rigorous statistical theory with production-minded applied work, having contributed to projects from autonomous package delivery to COVID-19 modeling with CMU’s Delphi team. Her background includes industry research internships and funded academic fellowships in Brazil, where she developed novel inference methods for option pricing and significance testing. Comfortable moving between theory and applied systems, she brings deep probabilistic thinking to real-world ML problems and a track record of translating complex methodological advances into operational analytics.
9 years of coding experience
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Joint Graduate Program in Statistics UFSCar/USPDoctor of Philosophy - PhD, Statistics and Machine Learning, Doctor of Philosophy - PhD, Statistics and Machine Learning at Carnegie Mellon UniversityBachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at Universidade Federal de São Carlos
Github Skills (4)
backend7
openapi7
delphi7
python5
Programming languages (3)
Github contributions (5)
nloliveira/coupled-bootstrap-risk-estimation
Nov 2021 - Apr 2024
Contributions:6 pushes in 2 years 5 months
nloliveira/covidcast
Jul 2020 - Jul 2020
Public-facing documents and tools supporting Delphi's COVIDcast effort.
Contributions:6 pushes, 1 branch in 6 days
effortsupportingdelphicovidcast
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