Abinash Pun

Thank you for visiting my personal webpage. As a Lead Modeler at Discover Financial Services, I bring over a decade of experience in programming, software development and modeling. My primary responsibility involves developing models utilizing state-of-the-art Statistical and Machine Learning algorithms to identify fradulant behavior. By leveraging my skills and experience, I aim to enhance Discover’s ability to protect its customers and mitigate risks associated with fraudulent activities.

Prior to my tenure at Discover, I pursued a Ph.D. in high-energy experimental nuclear physics at Ohio University. My doctoral research delved into the analysis of data from Brookhaven National Lab, aimed at comprehending the state of our universe microseconds post-Big Bang.

After that, I transitioned to a role as a Post-Doctoral Researcher at New Mexico State University, where I actively participated in SpinQuest and SeaQuest nuclear experiments at Fermi National Lab. Within these experiments, I held a leadership position, overseeing the maintenance and coordinating the development of a shared analysis software framework.