Amy is an Engineer and a multidisciplinary Data Scientist at USAA. She received her B.E degree in Electrical and Computer Engineering at the University of Minnesota and her M.S. and Ph.D. degrees in Electrical Engineering from the University of Texas. She is an active promoter for women in STEM and enjoys teaching & organizing community events to increase women's visibility in the field. She previously served as the Women in Data Science Ambassador (WiDS) for the Global Women in Data Science group at Stanford University. She also founded San Antonio Data Science Meetup in 2016. Amy began her career at Southwest Research Institute as an Engineer where she implemented various frequency estimation and tracking methods using Fast Fourier Transform techniques. After completing her Ph.D., she worked as a Postdoctoral fellow at the UT Health Science Center where she developed algorithms to extract insights and evidence into the effectiveness of a new drug using Advanced Image Processing Techniques. In her spare time, she enjoys learning about the latest Machine Learning and Deep Learning breakthroughs. She also enjoys outdoor activities, traveling and spending time with her family and friends.