About

Antonio Mayor is a highly experienced Data Scientist with a career spanning over 6 years. He is currently serving as a Senior Machine Learning Engineer at Affirm, where he leverages his expertise in ML, Big Data, and NLP to develop innovative solutions that optimize business outcomes. Prior to joining Affirm, Antonio held various positions in renowned organizations such as BBVA Data & Analytics and EY, where he served as a Data Scientist and Senior Consultant, respectively. During his time at EY, Antonio gained international experience across different sectors, including insurance, banking, retail, and human resources. He designed and delivered E2E machine learning solutions, including virtual assistants and document classification using NLP, speech recognition, and cloud services. Antonio also developed default rate prediction models using linear and tree-based models and created a model fairness and explainability framework to audit and understand model behavior. Additionally, he supported loan portfolio analysis and automated high repetitive tasks to improve processes. Antonio also tested cognitive services and applicability with cloud providers. Antonio's educational background is equally impressive. He holds a Nanodegree in Natural Language Processing from Udacity, a Master's degree in Telefonica Big Data and Analytics from Universidad Europea Miguel de Cervantes, and a Grado en Ingeniería Matemática from Universidad Complutense de Madrid. Antonio's technical skills include ML, Data Scientist, Research Scientist, Big Data, NLP, and test. Antonio is an analytical, detail-oriented, and results-driven professional who is passionate about data and its potential to drive business growth. He is a team player who thrives in a collaborative environment and is always willing to share his knowledge and expertise with his colleagues. Antonio's extensive experience, combined with his solid educational background, makes him a valuable asset to any organization looking to leverage data to gain a competitive advantage.