Omar Trejo
About Omar Trejo
Omar Trejo is a Data & ML Engineer with extensive experience in the field, currently serving as the Owner at ML Labs and working at Gigster and Arc.dev. He holds dual Bachelor of Science degrees in Mathematics and Economics from Instituto Tecnológico Autónomo de México and specializes in smart automation and MLOps.
Work at Gigster
Omar Trejo has been employed at Gigster as a Data & ML Engineer since 2018. In this role, he focuses on leveraging data and machine learning techniques to drive project outcomes. His contributions are aimed at enhancing the efficiency of processes within the organization. With a tenure of six years, he has developed expertise in the application of data science methodologies to solve complex problems.
Current Role at ML Labs
Since 2021, Omar Trejo has served as the Owner and Data & ML Engineer at ML Labs. In this capacity, he oversees operations and applies his skills in data and machine learning to deliver innovative solutions. His work emphasizes smart automation, which aims to improve operational efficiency and effectiveness, typically achieving a payback period of six months.
Education and Expertise
Omar Trejo studied at Instituto Tecnológico Autónomo de México, where he earned two Bachelor of Science degrees in Mathematics and Economics, completing his studies from 2009 to 2016. This educational background provides him with a strong foundation in quantitative analysis and economic principles, which he applies in his professional roles as a Data & ML Engineer.
Previous Experience at Codementor
Before his current roles, Omar Trejo worked at Codementor as a Data & ML Engineer from 2016 to 2021. During this five-year period, he gained significant experience in data science and machine learning, contributing to various projects that required advanced analytical skills and technical expertise.
Advocacy for Digital Transformation
Omar Trejo advocates for a strategic approach to digital transformation, encapsulated in his motto 'Think big. Start small. Seek impact.' This philosophy reflects his commitment to implementing effective changes in organizations through data-driven decision-making and MLOps, particularly in data-intensive environments.