Jessica De Souza

Data Scientist

Rio de Janeiro, Brazil
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Summary

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Jessica De Souza is a data scientist based in Rio de Janeiro with three years of hands-on experience building and operating ML models across fintech and proptech, currently driving data initiatives at Nubank. Her background spans risk and fraud detection, price-prediction products, and end-to-end model lifecycle work—from feature stores to production monitoring—gained at companies like QuintoAndar, Stone, and Choice Technologies. She pairs an electrical engineering foundation and a master's in computer science with practical skills in Power BI, Tableau, and model optimization, enabling clear product-focused analytics and decision support. Jessica is also an active mentor who helps early-career professionals navigate career growth and often advocates for ethical, fair AI informed by her perspective as a Black woman in tech. Known for blending rigorous quantitative thinking with product sensibility, she seeks roles that deliver measurable customer impact while advancing diversity and responsible AI.
code3 years of coding experience
job6 years of employment as a software developer
bookBachelor of Engineering (B.Eng.) Engenharia Elétrica e Eletrônica, Bachelor of Engineering (B.Eng.) Engenharia Elétrica e Eletrônica at UERJ
book Especialização em Inteligência Artificial e Aprendizado de Máquina Inteligência Artificial, Especialização em Inteligência Artificial e Aprendizado de Máquina Inteligência Artificial at PUC Minas
bookMaster's degree Computer Science, Master's degree Computer Science at Cefet/RJ - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
languagesPortuguese, English
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Github Skills (5)

machine-learning4
python4
data-analysis3
data-science3
ml1

Programming languages (1)

Jupyter Notebook

Github contributions (1)

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nubank/fklearn

Dec 2022 - Dec 2022

fklearn: Functional Machine Learning
Contributions:1 commit, 1 branch in 1 day
data-analysispythondata-sciencemlmachine-learning
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