Summary
Paz Llamosas is a data scientist with 10 years’ experience specializing in credit risk, scoring and revenue estimation, currently applying SQL, Python, SAS and Google Cloud at Equifax. She progressed from data analyst roles into modeling and analytics, giving her deep domain knowledge of credit products and business-facing decision processes. Paz has led end-to-end projects for retail and financial clients—building scorecards, approval policies and collections models—and regularly translates complex analyses into actionable insights in stakeholder meetings. Comfortable with both traditional tools (SPSS, OBIEE) and modern ML stacks (Keras, XGBoost, Power BI), she blends statistical rigor with production-aware implementation. Known for pragmatic problem solving, she often uncovers non-obvious patterns in large datasets that drive measurable business improvements.
10 years of coding experience
5 years of employment as a software developer
Bachillerato, Empresa/comercio, general, Bachillerato, Empresa/comercio, general at Colegio Santa Teresa del Niño Jesús - Martínez - Buenos Aires
Ingeniería de sistemas, Ingeniería de sistemas at Universidad Tecnológica Nacional
Spanish, English