Davi Vieira
Senior Data Scientist
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolDavi Vieira is a Senior Data Scientist based in São Paulo with six years of experience building scalable, revenue-driving data products across fintech and proptech. He has led technical teams at Mercado Livre and Loft, applying propensity and uplift modeling, causal inference, and sequential A/B testing to improve credit originations and portfolio risk decisions. Comfortable across the ML lifecycle, Davi combines hands-on skills in Python, PySpark, R, SQL, Databricks, and MLOps tools like DVC and MLflow to move models from research to production. His background in statistical machine learning and an MSc in Mathematics and Statistics underpins pragmatic solutions that blend experimentation, generative AI, and document NLP/computer vision at scale. Now at TRM Labs, he focuses on fraud and risk analytics while maintaining a research-minded approach honed in academic and infrastructure-monitoring projects. Colleagues describe him as a technically rigorous leader who bridges deep statistical insight with practical engineering to deliver measurable business impact.
6 years of coding experience
9 years of employment as a software developer
Visiting student Civil Engineering, Visiting student Civil Engineering at Kennesaw State University - Southern Polytechnic College of Engineering and Engineering TechnologyMSc Mathematics and Statistics, MSc Mathematics and Statistics at Universidade Federal da BahiaBachelor of Engineering - BEng Civil Engineering, Bachelor of Engineering - BEng Civil Engineering at Universidade Federal de Alagoas
English, Spanish, French, Portuguese
Github Skills (7)
tidymodels10
survival-analysis10
lime8
survival8
machine-learning6
python6
xgboost5
Programming languages (1)
Github contributions (4)
davivieirab/davivieirab.github.io
Apr 2020 - Jul 2020
Contributions:147 pushes in 3 months
davivieirab/causal-inference-applications
Jan 2021 - Apr 2021
Random scripts and analysis
Contributions:4 PRs, 7 pushes, 3 branches in 2 months
python
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