Dr. Bryan Shepherd has over 15 years of experience in quantitative research, predictive analytics, and statistical programming across a variety of academic and industry settings.
Much of Bryan’s industry-side career has been in marketing research. As a Senior Data Scientist at an e-commerce startup in Durham, NC, Bryan developed statistical models that helped improve clients’ ROI and contributed to a successful exit when the organization was purchased in 2018. Prior to this he built segmentations and predictive models at the renowned market research company, Yankelovich.
Bryan has also worked in statistical software development and government contracting. At SAS Institute, Bryan helped validate the accuracy of components within JMP. While at RTI, Bryan helped build statistical models used by the National Center for Education Statistics (NCES) to understand and predict the behavior of NCES sample members. He served on RTI’s institute-wide Big Data/Data Science steering committee when it was formed in 2013.
As the principal at Chanalytics Research, Dr. Shepherd provided analytic solutions to clients ranging from large-multinational companies to small, one-person shops. These consulting engagements covered topics as varied as piracy off the east coast of Africa and wine price forecasting.
In addition to this industry experience, Bryan’s research has been published in academic journals and edited texts. He has taught research methods courses at both traditional, post secondary institutions and in online settings.
Dr. Shepherd has extensive experience in R, SPSS, and SAS, but these days most often works with the Python Data Science stack.