Magdiel Delgadillo
About Magdiel Delgadillo
Magdiel Delgadillo is a Business Analyst at US Foods in Phoenix, Arizona, with a background in data science and military service. He has experience in machine learning, cloud data platforms, and data management, and has worked in various roles at US Foods since 2004.
Work at US Foods
Magdiel Delgadillo has been employed at US Foods since 2021, currently serving as a Business Analyst in Phoenix, Arizona. Prior to this role, he worked as a Data Scientist from 2019 to 2020 and as a Business Data Analyst from 2017 to 2019, both in Tempe, Arizona. His tenure at US Foods began with his position as a Supplier Incentive Administrator from 2004 to 2008 in Phoenix. Throughout his time at the company, he has contributed to various data-driven projects and initiatives.
Education and Expertise
Magdiel Delgadillo studied at Galvanize Inc, where he completed a Data Science Immersive program from 2018 to 2019. He also holds a Bachelor of Arts in Mathematics from Arizona State University. His educational background has equipped him with skills in data management, machine learning, and statistical analysis. He is proficient in programming languages such as Python, SQL, R, and VBA, and has experience with cloud data platforms like Snowflake and Redshift.
Background
Before his career in data analysis and science, Magdiel Delgadillo served in the US Army as a Specialist E-4 and Team Leader in the 82nd Airborne Division from 1991 to 1994 at Ft. Bragg, NC. This experience contributed to his leadership skills and ability to work in high-pressure environments. His transition from military service to the tech industry reflects a diverse professional background.
Achievements in Data Science
Magdiel Delgadillo has developed a capstone project titled 'Will It Pass?', which utilized a gradient boosting classification model to predict the passage of congressional bills. He has experience deploying machine learning models onto AWS EC2 and S3 and has utilized AWS EC2 for web scraping and data storage in MongoDB. His skills include model optimization techniques such as K-Fold Cross-Validation and Grid Search, as well as a strong understanding of both supervised and unsupervised learning techniques.
Technical Skills and Tools
Magdiel Delgadillo possesses a comprehensive understanding of various data visualization tools and libraries, including Tableau, Matplotlib, and Seaborn. He has expertise in building and maintaining ETL and machine learning pipelines across different operating systems, including Mac, Windows, and Linux. His technical skills enable him to improve analytic processes and convert them into open-source solutions, enhancing data accessibility and usability.