As a data scientist at TruU, Inc., I apply my machine learning expertise to create novel data-driven products that enhance the security and convenience of identity verification. I work with a cross-functional team of engineers, designers, and product managers to develop and deploy scalable solutions that leverage deep learning techniques and statistical modelling to perform continuous, real-time identity verification all on an endpoint. I leverage a variety of structured and unstructured data from diverse sources and keep up-to-date with academic research in order to perform rigorous experimentation on new architectures and approaches in order to deploy the highest performing solutions.I have a PhD in Physics from the University of North Carolina at Chapel Hill, where I conducted research on the interplay between quantum fields and black hole formation. I also have a strong background in mathematics, with two BS degrees and an MS degree from Utah State University. I enjoy creatively analyzing problems and applying appropriate constraints and simplifications to make complex problems tractable. I am motivated by challenges and opportunities to learn new skills and domains.
Listed skills include Mathematics, Pandas, Scikit Learn, Git, and 27 others.