Carlos Omar Velázquez Martínez
About Carlos Omar Velázquez Martínez
Carlos Omar Velázquez Martínez is an Operations Associate at Scale AI, with a background in procurement and logistics. He has experience working at PwC México and Vestas, and holds a degree in Industrial Engineering from Universidad Nacional Autónoma de México.
Work at ScaleAI
Carlos Omar Velázquez Martínez has been employed at Scale AI as an Operations Associate since 2022. His role involves responsibilities that align with generative AI quality assurance, where he applies his skills in process improvement and project management. Carlos's keen interest in data analytics is crucial to his contributions at Scale AI, enabling him to support the organization's operational goals effectively.
Previous Experience at PwC México
Before joining Scale AI, Carlos worked at PwC México as a Procurement Operations Associate from 2021 to 2022. During his nine-month tenure in Mexico City, he focused on procurement processes, enhancing his operational expertise and understanding of supply chain dynamics. This experience provided him with a solid foundation in procurement operations.
Internship at Vestas
Carlos gained valuable experience as a Procurement Intern at Vestas from 2020 to 2021. His year-long internship allowed him to develop practical skills in procurement and operations within the renewable energy sector. This role contributed to his understanding of supply chain management and operational efficiency.
Education and Expertise
Carlos studied at Universidad Nacional Autónoma de México, where he earned a degree in Ingeniería Industrial with a focus on Gestión logística, de materiales y de la cadena de suministro from 2015 to 2020. Additionally, he participated in a Study Abroad Program at King's College London in 2019 for 11 months, further broadening his academic and cultural perspectives in business.
Skills and Professional Attributes
Carlos demonstrates a results-oriented approach in his work, collaborating effectively with team members to achieve organizational objectives. He is recognized for being a quick learner, which has facilitated his adaptation to new challenges in operations and data analytics. His strong background in process improvement and project management enhances his effectiveness in his current role.