Skip to main content

About Jennifer L. Priestley

Dr. Priestley is the Associate Dean of The Graduate College and the Director of the Analytics and Data Science Institute at Kennesaw State University. In 2012, the SAS Institute recognized Dr. Priestley as the 2012 Distinguished Statistics Professor of the Year. She served as the 2012 and 2015 Co-Chair of the National Analytics Conference. Datanami recognized Dr. Priestley as one of the top 12 “Data Scientists to Watch in 2016.” Dr. Priestley has been a featured speaker at SAS Analytics, Big Data Week, Technology Association of Georgia, Data Science ATL, The Atlanta Chief Data Officer Summit, The Atlanta CEO Council, Predictive Analytics World, INFORMS and dozens of corporate events addressing issues related to advanced analytics and the challenges and opportunities of “Big Data”. She is a member of the Advisory Board for the Southern Data Science Conference.She has authored dozens of articles on Binary Classification, Risk Modeling, Sampling, Statistical Methodologies for Problem Solving and Applications of Big Data Analytics.Prior to receiving a Ph.D. in Statistics, Dr. Priestley worked in the Financial Services industry for 11 years. Her positions included Vice President of Business Development for VISA EU in London, as well as for MasterCard US and an analytical consultant with Accenture’s strategic services group. Dr. Priestley received a Ph.D. from Georgia State, a MBA from The Pennsylvania State University, where she was president of the graduate student body, and a BS from Georgia Tech.

Positions

Present Associate Professor of Applied Statistics and Director of the Center for Statistics and Analytical Services, Kennesaw State University
to

Curriculum Vitae



Research Interests


$
to
Enter a valid date range.

to
Enter a valid date range.

Honors and Awards

  • 2012 Distinguished Professor Award – The SAS Institute
  • 2011 Distinguished Service Award – Kennesaw State University
  • 2007 Excellence in Teaching – Georgia State University

Courses

  • MATH 1107 Introduction to Statistics
  • STAT 3010 Statistical Computing
  • STAT 3120 Statistical Methods I
  • STAT 3130 Statistical Methods II
  • STAT 4330 Applied Binary Classification
  • STAT 8330 Applied Binary Classification
  • INCM 9102 Quantitative Methods


Contact Information

Office: Mathematics and Statistics 210A
Phone: 770-423-6107
Email: jpriestl@kennesaw.edu


Articles (18)

Grey Literature (10)