Kathleen Kerwin CFE MBA Data Science and Statistics Researcher, owner and founder of Forensic Data Analytics LLC

     I worked in patrol as a bilingual California Police Officer from 1981 to 1990.  My first position was at the Montebello PD in L.A. County from ’81-‘83 then I worked for the the S.F. Bart PD from ’83-’90 leaving as a Senior Police Officer. I changed careers and became a software developer from 1990 to 1999 working for Wells Fargo, in their ATM division, and Accenture, in the San Ramon Solution Center, after earning an equivalent of a minor in computer science and engineering math from Diablo Valley College, California.  In 1999, I was hired as a project manager for Deloitte and worked with Blue Martini Software building an Alliance relationship then hired directly by Blue Martini as a product manager.

     In 2001, I began an MBA program in Finance and Accounting from Regis University in Colorado, as well as  starting my own business building financial services software.  I ran this business as a startup until 2007 then worked as a consultant for the same business.  In 2007, I began taking accounting classes at the University of Nevada and passed the CPA exam in 2012.  In 2012, I passed the Certified Fraud Examiners exam. 

     In 2014, I was accepted into the Northwestern University Masters of Predictive Analytics program  completing my thesis December 2017.  As of May 2020 I'm enrolled in North Carolina State University taking graduate level Statistics courses to provide the background in applying for future post graduate work.

      In 2019, I passed the CAMS exam and started a research project 'Stacked Generalizations for Fraud Data using Resampled Datasets' which was published by the Journal of Defense Model Simulations in December 2020, as well as presented at the INFORMS Operations and Research Conference in Harbor City, MD in November 2020.

     All of my work experience helps to build a unique set of knowledge and tools to create solutions for Fraud Prevention and Detection from a broad investigative angle as I develop predictive analytic models that can be used separately or made operational for enterprise business applications.