Magdiel Delgadillo is a business analyst and data practitioner with eight years of experience building ETL and machine learning pipelines, automations, and production deployments across Windows, Mac, and Linux environments. At US Foods he has combined data science and business analysis—developing ensemble segmentation models, contributing to in-house ETL packages, and leading metadata curation—to drive targeted marketing and operational improvements. He is proficient in Python, R, SQL, Snowflake/Redshift/Postgres, and visualization tools like Tableau, and has hands-on experience deploying CI/CD workflows on AWS and Bamboo. A former high school math teacher and Army team leader, he brings strong mentorship, documentation, and process-discipline to cross-functional teams. Magdiel also has a practical bent for re-implementing and improving third-party analytic workflows into open-source solutions, emphasizing parameterization and reproducible testing.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Arizona State University
Data Science Immersive, Data Science Immersive at Galvanize Inc
Kaggle Predict Future Sales Kudos Competition - OOP and Implementation of a Keras LSTM Model to predict the sales of each item by shop with 3 years of data.
Contributions:26 pushes, 16 branches in 6 months
kagglelstm-modelpythonkudosdeep-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.