Renata Ramírez

Renata Ramírez is a skilled data scientist with nearly three years of experience in the payment processing industry, currently employed at dLocal, where four fraud detection models have been developed and implemented to combat various fraud scenarios in LATAM and APAC markets. Previously, at albo, Renata worked as a machine learning engineer, focusing on probability of default models and graph databases. Experience as an analysis and budget advisor at BBVA en México involved data visualization and budget distribution utilizing decision tree models. Renata began a career as a senior consultant at Management Solutions, leading financial solvency analyses and implementing IFRS 17. Educational credentials include a forthcoming master's degree in Technology from Universitat Politècnica de Catalunya, a data analytics certification from Ironhack, and a degree in Mathematics Engineering from Instituto Politécnico Nacional.