Ryan Laird
About Ryan Laird
Ryan Laird is a Geographic Information Systems Analyst currently employed at Placer.ai since 2022. He has a diverse background in geospatial analysis and intelligence, with previous roles at organizations including The Buffalo Group, Leidos, and the United States Air Force.
Work at Placer.ai
Ryan Laird has been employed at Placer.ai as a Geographic Information Systems Analyst since 2022. In this role, he utilizes his expertise in geographic information systems to analyze spatial data and provide insights that support business decisions. His work contributes to the company's mission of leveraging location data to enhance understanding of consumer behavior and market trends.
Previous Experience in Intelligence Analysis
Prior to his current position, Ryan Laird worked as an Intelligence Analyst at The Buffalo Group from 2017 to 2019. This role involved analyzing intelligence data to support decision-making processes. He also served as a Human Geographer at Leidos for nine months in 2019, where he applied geographic analysis to various projects. His experience in the United States Air Force as a Geospatial Analyst from 2012 to 2014 and again from 2014 to 2016 provided him with foundational skills in geospatial analysis and data interpretation.
Education and Expertise
Ryan Laird holds a Bachelor of Science in Geography from Arizona State University, where he studied from 2014 to 2017. He furthered his education by obtaining a Master of Science in GIS Development from the University of Wisconsin-Madison, completing his studies in 2021. His academic background equips him with a strong understanding of geographic information systems and their applications in various fields.
Career in Geospatial Analysis
Throughout his career, Ryan Laird has held various positions related to geospatial analysis. He worked as a Geospatial Analyst in the United States Air Force, where he gained experience in analyzing geographic data. He also served as a Visual Information Specialist and Web Developer at ManTech from 2020 to 2022, focusing on visual data representation and web development. His roles have consistently involved the application of geographic information systems to solve complex problems.