Zachary Day
About Zachary Day
Zachary Day is a Machine Learning Engineer at Chevron in Houston, Texas, with a background in software development and teaching.
Current Position at Chevron
Zachary Day is currently serving as a Machine Learning Engineer at Chevron in Houston, Texas. In this role, he is involved in developing and maintaining reusable tooling and libraries to support various data science and machine learning projects. His contributions include creating a wrapper around Azure Machine Learning to streamline data access and experimentation, developing an API wrapper for querying batch data asynchronously from Azure Time Series Insights, and modifying Dash to include internal Chevron styling and Azure Active Directory authentication.
Professional Experience in Software Development and Teaching
Zachary Day has a diverse professional background that includes roles in software development and teaching. He worked as an English Second Language Teacher at 정상어학원 (Cheongsangeo Hagwon) in Korea for three months in 2018. Earlier that year, he was a Software Development Intern at Relidy Marketing LLC and at SHINE Systems & Technologies in 2017. Additionally, he served as a Supplemental Instructor/Tutor and as a Grader at LeTourneau University, with the latter role extending from 2017 to 2019. He also has experience as a Varsity Football Social Media Assistant at Longview News Journal and as Head Cook at Gatti's Pizza.
Educational Background
Zachary Day completed his Bachelor’s Degree in Computer Science and Mathematics at LeTourneau University from 2015 to 2019. He also studied at Handong Global University for 11 months in 2018 and achieved General Education at Austin Community College from 2013 to 2015. His educational background provided a solid foundation for his current expertise in machine learning and software development.
Technical Skills and Proficiencies
Zachary Day is proficient in a range of Python libraries including sklearn, tensorflow, numpy, pandas, and flask/dash. He also has experience with Javascript and React, making him versatile in both back-end and front-end development tasks. In his current role at Chevron, he actively utilizes Azure services, including Azure Machine Learning, Azure Function, and ADLS gen2, and employs Azure DevOps Pipelines for cloud and automation tasks.