Carlos Andrés Ardila Palomino
About Carlos Andrés Ardila Palomino
Carlos Andrés Ardila Palomino is a Machine Learning Manager at Multiverse Computing in San Sebastián, Spain. He possesses a strong background in data analysis and machine learning, with experience in various roles across academia and industry.
Current Role at Multiverse Computing
Carlos Andrés Ardila Palomino serves as the Machine Learning Manager at Multiverse Computing, a position he has held since 2024. He is based in San Sebastián, Basque Country, Spain. In this role, he utilizes his expertise in machine learning to lead initiatives that enhance data-driven decision-making within the organization.
Previous Experience in Machine Learning and Data Science
Prior to his current role, Carlos worked at Factored as a Machine Learning Engineer from 2021 to 2024. He also held positions as a Data Scientist at Fiscalia General de la Nación from 2019 to 2020 and at Addi in 2020. His experience spans various industries, including finance and retail, where he successfully built and deployed machine learning models.
Academic Background and Qualifications
Carlos holds multiple degrees from Universidad de Los Andes. He earned his Ingeniero Industrial from 2013 to 2017 and completed his Economista during the same period. He further advanced his studies by obtaining a Magíster en Ingeniería Industrial with a focus on Operations Research from 2017 to 2018.
Teaching Experience and Academic Contributions
Carlos has contributed to academia as an Assistant Professor at Universidad de Los Andes from 2017 to 2019 and as an Associate Professor from 2019 to 2024. His teaching roles involved imparting knowledge in data science and machine learning, fostering the next generation of professionals in the field.
Skills and Expertise in Data Analysis
Carlos possesses strong skills in data visualization, which enhance his ability to extract actionable insights from extensive datasets. His background in business insights complements his technical skills in machine learning and software development, making him a valuable asset in data-driven environments.