Tatyana Zabanova
Staff Data Scientist
São Paulo, Brazil
Summary
🤩
Rockstar🎓
Top SchoolTatyana Zabanova is a Staff Data Scientist based in São Paulo with seven years of experience building production-grade models and data infrastructure across fintech and consultancy. Trained in statistics (UNICAMP) and pursuing a master's at USP, she combines rigorous experimental design and geoestatistics with hands-on engineering in R, Python, Scala and SQL. At Nubank she advanced recommendation systems, causal modeling and end-to-end data pipelines; at Neon she now focuses on credit policy optimization engines. Fluent in English and Russian, she moves comfortably between research-grade methods and scalable implementation, often translating complex causal insights into actionable product improvements. An early career in consultancy honed her skills in field data collection and model validation—an unusual blend that helps her design robust, deployment-ready analytics.
7 years of coding experience
5 years of employment as a software developer
Graduação, Statistics, Graduação, Statistics at Universidade Estadual de CampinasUniversity of São Paulo
Russian, English
Github Skills (6)
data-science9
python9
data-analysis9
machine-learning9
ml7
science3
Programming languages (1)
Github contributions (5)
tatasz/FSStats
Feb 2019 - Jun 2019
Contributions:102 pushes in 4 months
tatasz/data-art
Sep 2019 - Sep 2019
Contributions:4 commits, 3 pushes, 1 branch in 17 days
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