Nathan Susanj is currently an Applied Science Manager on the Artificial General Intelligence team at Amazon, where they manage research on automatic speech recognition for the Alexa Hybrid Science team. Previously, they served as a VP and Data Science Manager at Wells Fargo, leading a team in developing advanced text and speech analytics and earning recognition as a company-wide Top Performer of the Year. They have also worked in various roles, including website lead at AOL's Patch.com and communications manager at Thomas Jefferson University. Nathan is pursuing multiple advanced degrees, including a Master of Science in Computer Science at Georgia Institute of Technology and a Master of Science in Predictive Analytics at Northwestern University, both with a 4.0 GPA.
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