Sean McGill

Sean McGill is an experienced analytics professional currently serving as a Senior Analytics Engineer at Abnormal Security since January 2025. Previously, Sean held the same title at Flare, where responsibilities included developing end-to-end solutions for the Finance vertical, notably optimizing financial reporting with a Legal Partner Cost model. A Data Science Fellow at Correlation One, Sean also worked at Zoom as a Data Scientist, focusing on finance and revenue, and automated data pipelines, achieving significant efficiency improvements. Additional experience includes contributions as an AI/ML Data Scientist at General Motors, a Technology Development Engineer at AT&T, and various internship roles at Samsung Austin Semiconductor. Sean holds a Master of Science in Artificial Intelligence from The University of Texas at Austin, a Master's in Data Analytics from Georgia Institute of Technology, and a degree in Industrial and Systems Engineering from Texas A&M University.