Chris Holle is a skilled data scientist and software engineer currently working at AT&T, where they apply technology and data expertise to address climate change. Previously, Chris served as a Lead Member of Technical Staff and a Software Engineer at AT&T from 2020 to 2022. They also contributed to advanced machine learning research as an Applied Machine Learning Research Assistant at Baylor University, developing innovative solutions using satellite imagery. Chris has held various leadership roles in software development and technical projects, including as Chief Technical Officer at Town Trotter and Lead Software Developer at Sentiv. Chris holds a Master of Science in Computational Analytics from the Georgia Institute of Technology and a Bachelor’s Degree in Computer Science from Baylor University.
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