Jorge Sendino is an accomplished data scientist and machine learning engineer with extensive experience in software development and data analytics. Starting as a software developer at Telefonica, where Jorge developed a high-capacity server backend for digital payments, Jorge later held positions at McKinsey & Company, where valuable predictive models for energy markets and customer retention for airlines were developed. As Principal Data Scientist at QuantumBlack, AI by McKinsey, Jorge innovated automation processes for insurance claims and advanced natural language processing applications, achieving significant cost savings. Jorge's expertise in MLOps and machine learning best practices was further demonstrated while leading initiatives in scaling ML models in a retail environment. Currently, Jorge serves as a Senior Machine Learning Engineer at Meta. Educationally, Jorge holds a Bachelor of Science in Telecommunications Engineering, graduated with honors from Universidad de Alcalá, and a Master's degree in Computer Science from Tufts University.
This person is not in any teams
This person is not in any offices