Summary
Felipe De Lima is a Senior Data Scientist with 4+ years building production-ready ML solutions across credit risk, fraud prevention, and customer segmentation at Itaú Unibanco and Signifyd. He combines strong statistical foundations (BSc in Statistics) with a master's focus in deep learning and computer vision from UNICAMP, applying both tree-based models (LightGBM, RF) and neural architectures (LSTM, CNN) to business problems. Experienced in end-to-end pipelines—feature engineering, CI/CD, SageMaker deployments, and drift monitoring—he partners closely with stakeholders to translate KPIs into scalable data strategies. Notably, he has moved fraud and recovery workflows from rule-based to model-driven systems and built NLP similarity models and forecasting networks that directly influenced commercial decisions. Based in Paraná, Brazil, Felipe pairs hands-on engineering (Python, R, Spark, SQL, AWS) with a practical focus on measurable value in risk and decision-making.
3 years of coding experience
Mestrado em Ciências da Computação, Foco em Deep Learning, especificamente aplicado à Visão Computacional., Mestrado em Ciências da Computação, Foco em Deep Learning, especificamente aplicado à Visão Computacional. at Universidade Estadual de Campinas
Graduação, Estatística, 8,7, Graduação, Estatística, 8,7 at Universidade Federal do Paraná
English, German