Miguel Lira Vidrio
About Miguel Lira Vidrio
Miguel Lira Vidrio is a Senior Data Scientist currently working at NEORIS in Guadalajara, Mexico. He has extensive experience in operations research, machine learning, and predictive analytics, with a background that includes roles at Technology & Performance Solutions and the Universidad de Guadalajara.
Current Role at NEORIS
Miguel Lira Vidrio serves as a Senior Data Scientist at NEORIS, a position he has held since 2020. In this role, he applies his expertise in operations research and machine learning to develop algorithms and implement data-driven solutions. His work focuses on addressing complex business challenges and enhancing decision-making processes within the organization.
Previous Experience at Technology & Performance Solutions
Miguel worked at Technology & Performance Solutions from 2014 to 2020, where he held multiple roles. He began as a Data Scientist for five years, focusing on predictive analytics. He then transitioned to a Data & A.I. Specialist role for one year. His responsibilities included developing machine learning pipelines and providing insights through data analysis.
Educational Background
Miguel Lira Vidrio earned a Bachelor of Arts in Economics from Universidad de Guadalajara, where he studied from 2008 to 2012. He also enhanced his skills through additional studies at Coursera and IBM technical enablement programs, focusing on data science and analytics.
Research and Analytical Roles
Miguel has experience in academic settings, having worked as a Research Assistant at Universidad de Guadalajara from 2010 to 2012. He also served as a Data Analyst at the same institution from 2013 to 2014. These roles involved conducting research and analyzing data to support academic projects and initiatives.
Speaking Engagement at IBM
In 2016, Miguel was a speaker at IBM for a month, where he shared insights and knowledge related to data science. This engagement highlighted his ability to communicate complex topics effectively to diverse audiences.