Carlos Cuervo
About Carlos Cuervo
Carlos Cuervo is a Data Science Director at PRAGMA, with a strong background in data analytics and business intelligence. He has held various roles in notable companies and is currently pursuing a PhD in ICT at the University of Valladolid.
Current Role at Pragma
Carlos Cuervo serves as the Data Science Director at PRAGMA, a position he has held since 2021. In this role, he focuses on designing data-driven solutions that support decision-making and business growth. His expertise in data science and analytics contributes to the company's initiatives in leveraging data for improved operational efficiency.
Previous Experience in Data Science and Analytics
Carlos has a diverse background in data science and analytics. He worked at Telefónica as a Data Scientist and Big Data & Analytics Consultant from 2019 to 2021. Prior to that, he was a Business Intelligence Specialist at BNP Paribas Cardif from 2017 to 2018. His experience also includes roles at Derco as Customer Intelligence Lead and at Bold.co as Data Product Manager.
Educational Background and Expertise
Carlos holds a Bachelor's degree in Industrial Engineering from Universidad de Los Andes, where he also earned a Master of Science in Industrial Engineering. He studied Deep Learning & Big Data at Universitat Oberta de Catalunya, achieving an Official Master's degree in Data Science. Currently, he is pursuing a PhD in ICT at Universidad de Valladolid, focusing on incremental learning and meta learning.
Research Interests
As part of his PhD studies at Universidad de Valladolid, Carlos researches incremental learning and meta learning. His academic pursuits align with his professional aim to use data for societal benefit, reflecting his commitment to leveraging data science for positive impact.
Professional Development and Teaching Roles
Carlos has contributed to academia through various teaching roles. He served as a Graduate Teaching Assistant for the Production Control course at Universidad de los Andes and as a Doble Monitor for the Logistics subject. These experiences have enriched his understanding of data science and its applications in education.