Danilo Motta
Senior Staff Data Scientist (L7)
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolDanilo Motta is a Senior Staff Data Scientist with nine years of experience combining academic rigor from a PhD in Mathematics and Computer Science with production ML at leading Latin American fintechs and e-commerce platforms. He has driven measurable business impact—leading teams that cut fraud >85% YoY, scoped retention strategies projected to save R$1.2B, and delivered recommendation and propensity models that generated multimillion-R$ revenue lifts. His research background in image processing, optimal transport, and visualization informs a strong aptitude for principled modeling, uncertainty estimation, and interpretable analytics. A former visiting researcher at the University of Arizona, he bridges theory and practice, shipping over 20 models via in-house AutoML and operationalizing text mining and optimization for enterprise use. Based in São Paulo, Danilo is equally comfortable mentoring cross-functional teams and rolling up his sleeves to build production-ready systems that prioritize business value and robustness.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at University of Sâo PauloUniversity of São PauloBachelor, Computer Sciences, Bachelor, Computer Sciences at Universidade Federal de Mato Grosso do Sul
English, Portuguese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
multidimensional8
mds7
multidimensional-scaling4
scaling4
python1
data-science1
cli1
Programming languages (3)
Github contributions (5)
danilomotta/LMDS
Aug 2018 - Apr 2021
A multidimensional scaling (MDS) and landmark multidimensional scaling (LMDS) implementation
Contributions:1 review, 9 commits, 2 PRs in 2 years 7 months
multidimensionalmdslandmarkmultidimensional-scalingscaling
danilomotta/minicurso_oo_python
Apr 2020 - Jun 2020
Contributions:12 commits, 10 pushes, 1 branch in 1 month
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