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.
3 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Engenharia Elétrica e Eletrônica, Bachelor of Engineering (B.Eng.) Engenharia Elétrica e Eletrônica at UERJ
Especialização em Inteligência Artificial e Aprendizado de Máquina Inteligência Artificial, Especialização em Inteligência Artificial e Aprendizado de Máquina Inteligência Artificial at PUC Minas
Master's degree Computer Science, Master's degree Computer Science at Cefet/RJ - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
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