Miguel Magaña Fuentes
About Miguel Magaña Fuentes
Miguel Magaña Fuentes is a Senior Machine Learning Engineer at Baubap in Mexico City, with a diverse background in data science and research across multiple institutions.
Company
Miguel Magaña Fuentes is currently employed at Baubap as a Senior Machine Learning Engineer in Mexico City, Mexico. Previously, he also held the role of Senior Data Scientist at Baubap in 2023 for a period of three months.
Education and Expertise
Miguel Magaña Fuentes has a strong educational background with a Bachelor's degree in Chemistry from Universidad de Guadalajara (2008-2011) and a Master's degree in Biophysics from Universidad Nacional Autónoma de México (2012-2014). He has also achieved certifications in Data Analytics from Ironhack in 2020 and Quantum Computing from the Creative Destruction Lab in 2022. His multidisciplinary foundation in chemistry, physics, and biology informs his approach to machine learning and data science.
Professional Experience
Miguel Magaña Fuentes has held various significant positions in the field of data science and machine learning. He worked as a Principal Analytics Engineer at Stori for three months in 2022 and as a Senior Data Scientist at Urbvan for five months in 2022. He was a Lead Teacher in Data Science at Coderhouse for 11 months and an Academic Lead in Data Science at Practicum Latam for eight months, both from 2022 to 2023. Additionally, Miguel was a Data Scientist Manager at Danone from 2021 to 2022 and has served in several research assistant roles at institutions like Florida State University and Boston University.
Research and Mentorship
Miguel Magaña Fuentes has been actively engaged in research across various domains including quantum materials, quantum computing, and quantum chemistry. He has also collaborated with Clubes de Ciencia, mentoring and inspiring young people in Mexico through educational initiatives. These activities highlight his interest in the intersection of machine learning and quantum science and his belief in the power of collective knowledge sharing and collaboration.