Summary
Hellen Lima is a Lead Data Scientist based in Rio de Janeiro with nine years of experience applying machine learning across finance and consumer marketing at scale. At Nubank she leads credit foundations and previously built ranking and orchestration models to personalize promotional communications, driving measurable uplift in campaign metrics. Her background spans NLP, embeddings for customer feedback, unsupervised segmentation, time-series forecasting and fraud detection from roles at fintechs and consultancies, and she has applied ML in high-stakes contexts including COVID forecasting for corporate decision-making. Early research and internships at CERN and UFRJ gave her a strong signal-processing and neural-network foundation, informing a pragmatic approach to loosely defined business problems. She combines technical leadership with hands-on modelling and experimentation, often translating research techniques into production-ready solutions that improve customer experience and ROI.
9 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree Electronic and Computer Engineering, Bachelor’s Degree Electronic and Computer Engineering at Federal University of Rio de Janeiro
High School Technical Course on Telecommunications, High School Technical Course on Telecommunications at Cefet/RJ - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
BEng Electronic Engineering and Telecommunications, BEng Electronic Engineering and Telecommunications at Queen Mary University of London
Portuguese, English