Mario Heredia
About Mario Heredia
Mario Heredia is a Data Science & AI Manager currently working at NEORIS in Mexico City. He holds a Bachelor's degree in Actuarial Science from Universidad Nacional Autónoma de México and a Master's degree in Data Science from Instituto Tecnológico Autónomo de México.
Work at NEORIS
Mario Heredia currently serves as the Data Science & AI Manager at NEORIS, a position he has held since 2024. In this role, he focuses on leveraging data science and artificial intelligence to drive business solutions. His responsibilities include managing data-driven projects and leading a team to develop innovative analytical strategies. His experience in this position builds on his extensive background in data science, allowing him to contribute significantly to NEORIS's objectives.
Education and Expertise
Mario Heredia earned a Bachelor's degree in Actuarial Science from Universidad Nacional Autónoma de México, completing his studies from 2013 to 2017. He furthered his education by obtaining a Master of Science in Data Science from Instituto Tecnológico Autónomo de México, where he studied from 2020 to 2022. His educational background equips him with a solid foundation in statistical analysis, computational methods, and machine learning, which he applies in his professional roles.
Professional Background
Mario has a diverse professional background in data science, having worked in various roles across different companies. He began his career at Las Quince Letras, where he held multiple positions, including Data Scientist, Analytics Manager, and Data Science Manager from 2017 to 2021. He then transitioned to Intuit as a Data Scientist for 10 months in 2022, followed by a role as a Data Science Consultant at Darwin Homes in the United States. Most recently, he worked as a Senior Data Scientist at Kavak.com from 2023 to 2024.
Skills and Problem-Solving Approach
Mario Heredia demonstrates a strong ability to transform raw data into actionable insights, utilizing analytical, statistical, computational, and machine learning methods. He is passionate about tackling complex problems and employs creative thinking to develop effective solutions. His continuous pursuit of learning and adaptation in his work reflects his commitment to professional growth and excellence in the field of data science.