Brandon Serna
About Brandon Serna
Brandon Serna is a Software Architect with over nine years of experience in software development and data-driven solutions. He has previously worked at the U.S. Geological Survey, KPMG, and Location3 Media, and holds a Bachelor of Arts from the University of Colorado Denver and a Master of Science in Data Science from Regis University.
Work at U.S. Geological Survey
Brandon Serna has worked at the U.S. Geological Survey (USGS) since 2019, currently holding the position of Software Architect. In this role, he serves as a technical lead, focusing on the development of products and services that enhance USGS data. Prior to his current position, he worked as a Software Engineer at USGS from 2014 to 2019 for five years in Lakewood, Colorado. His experience at USGS has contributed to his expertise in software architecture and data solutions.
Education and Expertise
Brandon Serna is pursuing a Bachelor of Arts degree at the University of Colorado Denver, which he has been studying since 2015. He also holds a Master of Science in Data Science from Regis University, where he studied from 2016 to 2018. His educational background supports his over nine years of experience in developing software and data-driven solutions, equipping him with the necessary skills for his roles in various organizations.
Previous Work Experience
Before his current role at USGS, Brandon Serna worked as a Data Scientist at KPMG for seven months in 2019, contributing to KPMG Lighthouse by assisting teams in the development and understanding of machine learning solutions. He also served as an Account Coordinator at Location3 Media from 2011 to 2013 for two years and worked in data collection for the State of Colorado from 2013 to 2014 for four months. His diverse work experience spans various roles in software engineering, data science, and account coordination.
Technical Contributions
In his capacity as a technical lead at USGS, Brandon Serna has played a significant role in building products and services that enhance the agency's data capabilities. His contributions have focused on improving the adoption and understanding of data-driven solutions, particularly in the context of machine learning during his tenure at KPMG. His work reflects a commitment to advancing technical solutions in the field of data science and software development.