Miguel ángel Fernández Guerrero
About Miguel ángel Fernández Guerrero
Miguel Ángel Fernández Guerrero is a Data Scientist Expert and Machine Learning Engineer with a Bachelor's degree in Mathematics and a Master's degree in Data Science. He has held various roles in data science and analysis across multiple companies and currently teaches at Edix Educación and Nuclio Digital School.
Work at Keepler
Miguel Ángel Fernández Guerrero currently serves as a Data Scientist Expert and Machine Learning Engineer at Keepler Data Tech. He has been in this role since 2022, working remotely from Madrid, Community of Madrid, Spain. In this position, he applies his extensive knowledge in data science and machine learning to solve complex problems and enhance data-driven decision-making.
Education and Expertise
Miguel Ángel Fernández Guerrero holds a Bachelor's degree in Mathematics from Universidad Autónoma de Madrid, which he completed from 2013 to 2017. He also earned a Master of Science in Data Science from Universidad Complutense de Madrid, studying from 2017 to 2018. His educational background is complemented by various specializations, including Big Data with PySpark and Data Engineering on Google Cloud Platform, showcasing his expertise in handling large datasets and machine learning.
Background
Miguel Ángel Fernández Guerrero has a diverse professional background in data science and analytics. He began his career as a Data Analyst at Savso Spain from 2017 to 2018. He then progressed to roles at Deloitte, where he worked as a Data Analyst and later as a Senior Data Analyst. His experience includes a position as a Senior Data Scientist and Machine Learning Engineer at Financiera El Corte Inglés E.F.C, S.A. from 2021 to 2022.
Achievements
Miguel Ángel Fernández Guerrero has completed several certifications and specializations that highlight his skills in data science and machine learning. He holds multiple Azure certifications, including AI-100, AZ-900, and AI-900. Additionally, he is certified as a Machine Learning Associate and PySpark Developer with Databricks. His technical proficiency includes a strong tech stack featuring Python, Spark, MLflow, and TensorFlow.
Teaching Experience
Since 2022, Miguel Ángel Fernández Guerrero has been involved in academia as a professor at Edix Educación, focusing on Clustering and Time Series. He also began teaching at Nuclio Digital School in 2024. His teaching roles allow him to share his knowledge and expertise in data science and machine learning with students, contributing to the development of future professionals in the field.