Leo Quiroa
About Leo Quiroa
Leo Quiroa is a Sr. Data Platform Engineer at Revel Systems, with a decade-long career in the IT industry that includes diverse roles in data science and software development across multiple countries.
Work at Revel Systems
Leo Quiroa currently serves as a Senior Data Platform Engineer at Revel Systems, a position he has held since 2022. His role involves leveraging data platforms to enhance operational efficiency and support decision-making processes within the organization. Revel Systems is known for its innovative point-of-sale solutions, and Quiroa's expertise contributes to the company's data-driven initiatives.
Previous Experience in Data Science and Engineering
Prior to his role at Revel Systems, Quiroa held several significant positions in the tech industry. He worked as a Data Scientist Advisor and later as Head of Data Science at Hitch from 2020 to 2022. His experience also includes roles as a Machine Learning Specialist at Blue Orange Digital and a Data Scientist at Synapbox. This diverse background showcases his expertise in data science, machine learning, and software development.
Education and Expertise
Leo Quiroa earned a Master's degree in Computer Vision from Kyung Hee University, where he studied from 2012 to 2014. He also holds a Bachelor's degree in Computer Engineering from Universidad de San Carlos de Guatemala, completed between 2005 and 2010. His educational background provides a strong foundation for his career in IT, particularly in data science and machine learning.
Career Background in IT
Quiroa has over a decade of experience in the IT industry, beginning his career in 2009. His professional journey includes various roles, such as Junior Programmer at IGSS Instituto Guatemalteco de Seguridad Social and Software Developer Specialist at Xerox. He has worked across multiple regions, including Latin America, the United States, and Asia, demonstrating his ability to adapt to different cultural environments.
Professional Development and Philosophy
Quiroa describes himself as a 'human-life simplifier' and an 'eternal student,' reflecting his commitment to continuous learning and professional growth. His transition from a back-end developer to a data scientist illustrates his versatility and adaptability in the tech field. This philosophy drives his approach to problem-solving and innovation in his work.