Axel Aguerreberry is a Senior Data Scientist at Kueski, one of the largest BNPL and online consumer lenders in Latin America, where Axel develops causal machine learning models for personalizing pricing and assigning credit limits. Prior to this role, Axel was a Data Scientist at Mercado Libre, contributing to fraud prevention through machine learning models that generated significant revenue. Experience also includes positions at COREBI SA, where Axel led the design and implementation of customer segmentation models, and as a Research Assistant at Facultad de Ciencias Exactas Físicas y Naturales, where thesis research involved deep learning techniques in biomedical imaging. Earlier experience as a Data Science Intern at Fundación Fulgor focused on applying deep learning for pneumonia detection and EEG signal classification. Axel holds multiple degrees, including a Bachelor's in Biomedical Engineering from Universidad Nacional de Córdoba and additional education from Instituto Tecnológico de Buenos Aires and The University of Alabama.
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