Jennifer Carroll Lewis Priestley, Ph.D.

Professor of Statistics and Data Science

Kennesaw State University

EXPERIENCE

Kennesaw State University – Professor of Applied Statistics and Data Science Atlanta, GA

  • Director of the Ph.D. in Analytics and Data Science 2004 –Present
  • Courses taught or developed include Big Data Analytics, Multivariate Modeling, Classification Methods, Logistic Regression, Research Methods, Probability, Risk Scoring, Statistical Programming (SAS, SQL, R, Python)
  • Director of the Consulting Center for Statistics and Analytical Services
  • Primary university interface for all external analytical consulting client relationships
  • Developed and managed analytical project engagements
  • Tenured August, 2009

Visa EU – Vice President, United Kingdom London, UK

  • Regional Manager for Scottish and Irish Banking Institutions 1998 – 2000
  • Business Development in consumer lending

MasterCard International –Vice President, Member Relations U.S. Region New York, NY

  • Supported all aspects of Credit Card Portfolio Management across 1995 – 1998

Marketing, Co-Branding, Risk Management and Operations

  • Responsible for account planning, sales development and project management

Andersen Consulting, Strategic Services Practice – Consultant Atlanta, GA

  • Research and Development for Online Banking 1993 –1995

AT&T Universal Card Services – Portfolio Manager Jacksonville, FL

  • Responsible for activation, usage, and retention of customers 1992 – 1993
  • Responsible for generating and managing over $50 million in receivables
  • Developed and implemented segment lifecycle communications

AT&T Consumer Communication Services – New Segment Manager Basking Ridge, NJ

  • Responsible for identifying and evaluating new customer segments 1991 – 1992
  • Developed statistical models analyzing vulnerability of newly acquired customers

EDUCATION

Georgia State University, J. Mack Robinson College of Business Atlanta, GA

Ph.D. in Decision Sciences and Applied Statistics 2003

  • Dissertation Research in Information Sharing using applications of

Structural Equation Modeling, Partial Least Squares and Regression Analysis.

Chair: Subhashish Samaddar

  • Graduate Teaching Assistant - Statistics

The Pennsylvania State University, Smeal College of Business

Masters in Business Administration, Minor in Quantitative Business Analysis State College, PA

  • President, Graduate student body 1991
  • Instructor, Statistics Department

Georgia Institute of Technology Atlanta, GA

Bachelors of Science in Economics 1989

  • Teaching assistant, Economics Department
  • Research assistant, Economics Department

AWARDS AND RECOGNITION

2016 People to Watch in 2016 – Datanami.

2015 Chair, National Analytics Conference – The SAS Institute

2012 Chair, National Analytics Conference – The SAS Institute

2012 Distinguished Statistics Professor Award – The SAS Institute

2011 Distinguished Service Award – Kennesaw State University

2007 Excellence in Teaching – Georgia State University

JOURNAL PUBLICATIONS

Jennifer Priestley (2014) Payday Loan Rollovers and Consumer Welfare. Social Science Research Network Working Paper Series (JEL Classification:D14, D18, G23, G28).

Kamal Fatahi, Ben Kedia, Jennifer Priestley (2014) Mindscapes and individual heterogeneity within and between cultures. Journal of Business Research

Jean Marie Ruddy, Paul Reisenman, Jennifer Priestley, Luke Brewster, Yazan Duwayri, Ravi Veeraswamy. (2014) Stent-graft Therapy for False lumen Aneurysmal Degeneration in Established Type B aortic Dissection (FADED) Results in Differential volumetric Remodeling of the thoracic Versus Abdominal aortic Segments.Annals of Vascular Surgery

Patrick J. Culligan, Emil Gurshumov, Christa Lewis, Jennifer Priestley, Jodie Komar, Nihar Shah, Charbel G. Salamon (2013) Subjective and objective results 1 year after robotic sacrocolpopexu using a lightweight Y-mesh. International Urogynecology Journal.

Charbel G. Salamon,Christa Lewis,Jennifer Priestley, Emil Gurshumov and Patrick J. Culligan (2013) Prospective study of an ultra-lightweight polypropylene Y mesh for robotic sacrocolpopexy, International Urogynecology Journal.

Patrick J. Culligan, Charbel Salamon, Jennifer Priestley, and Amir Shariati (2013) Porcine Dermis Compared With Polypropylene Mesh for Laparoscopic Sacrocolpopexy: A Randomized Controlled Trial. Journal of Obstetrics and Gynecology, 121 (1).

Culligan, Patrick, Jennifer Priestley, Paul M. Littman, Charbel G. Salamon, and Amir Shariati (2010) Evaluation of a transvaginal mesh delivery system for the correction of pelvic organ prolapse: subjective and objective findings at least 1 year after surgery.American Journal of Obstetrics and Gynecology, 203(5).

Priestley, Jennifer and Massey, Jane. (2011) Counting the Impossible: Sampling and Modeling to Achieve a Large State Homeless Count. Journal of Public Management and Social Policy, Spring, 85-106.

Culligan, Patrick, Sherer, J, Dyer, K, Priestley, Jennifer, Guingon-White, G, Delvecchio, D and Vangeli, M (2010) A randomized clinical trial comparing pelvic floor muscle training to a Pilates exercise program for improving pelvic muscle strength. International Journal of Urogynocology. 21, 401-408.

Culligan, Patrick, Priestley, Jennifer, Blackwell Linda., and Tate, S. (2010). Can urethral retro-resistance pressures predict mid urethral sling outcomes? The Journal of Reproductive Medicine, 55,103-107.

Johnson, Ping, Priestley, Jennifer, Porter, K. J., and Petrillo, J. (2010). Complementary and alternative medicine: Attitudes and use among health educators in the United States. American Journal of Health Education, 41(3), 167-177

Johnson, Ping, Priestley, Jennifer and Johnson, R. (2008) A Survey of Complementary and Alternative Medicine Knowledge among Health Educators in the United States. American Journal of Health Education 39(2), 66-79.

Priestley, Jennifer and Samaddar S. (2006) Multi-Organizational Networks:Three Antecedents of Knowledge Transfer. International Journal of Knowledge Management. 3(1).

BOOK CHAPTERS

Priestley, Jennifer and Samaddar, Subhashish (2006) Information Sharing in Innovation Networksin M. Khosrow-Pour (Ed) "Encyclopedia of Information Science and Technology, 2nd Edition" IRM Press: Hershey, PA.

Priestley, Jennifer and Samaddar, Subhashish (2006) The Role of Ambiguity in the Transfer of Knowledge Within Multi-Organizational Networksin G. Putnik and M. Cunha (Eds) "Knowledge and Technology Management in Virtual Organizations: Issues, Trends, Opportunities and Solutions" IRM Press: Hershey, PA.

Priestley, Jennifer (2005). Knowledge Transfer Within Interorganizational Networks. in E. Coakes and S. Clarke (eds) "Encyclopedia of Communities of Practice in Information and Knowledge Management". IRM Press: Hershey, PA.

Nargundkar, Satish and Priestley, Jennifer (2003).Model Development Techniques and Evaluation Methods for Prediction and Classification of Consumer Risk in the Credit Industry in P. Zhang (ed) "Neural Networks for Business Forecasting" IRM Press: Hershey, PA.

PEDAGOGICAL/TEACHING SUPPORT AIDES

Priestley, Jennifer. (2009), JMP Technology Reference Card. To accompany The Triola Statististics Series. Boston: Pearson Education.

Priestley, Jennifer. (2009), Excel Technology Reference Card. To accompany The Triola Statististics Series. Boston: Pearson Education.

Priestley, Jennifer. (2009), SPSS Technology Reference Card. To accompany The Triola Statististics Series. Boston: Pearson Education.

Priestley, Jennifer. (2009), Minitab Technology Reference Card. To accompany The Triola Statististics Series. Boston: Pearson Education.

Priestley, Jennifer. (2008), JMP Solutions Manual. To accompany Agresti and Franklin Statistics: The Art and Science of Learning from Data (2nd ed.) Boston:Pearson Education.

CONFERENCE PROCEEDINGS

Samaddar, Subhashish and Priestley, Jennifer. " Absorptive Capacity, Causal Ambiguity and Outcome Ambiguity: The Network Effect and Knowledge Transfer Difficulty among Four Network Forms". (Key Words: Knowledge Transfer Difficulty, Absorptive Capacity, Causal Ambiguity, Outcome Ambiguity).

Presented at DSI 2003 National Conference in Washington DC (November 22-25)

Nargundkar, Satish and Priestley, Jennifer."Assessment of Model Development Techniques and Evaluation Methods for Binary Classification in the Credit Industry ".(Key Words: Linear Discriminant Analysis, Logistic Regression Analysis, Neural Networks, Classification, ROC Curves, K-S Test). Presented at DSI 2003 National Conference in Washington DC (November 22-25)

Priestley, Jennifer "Knowledge Transfer in Multi-Organizational Networks: Influence of Causal and Outcome Ambiguities" (Key Words: Knowledge Management, Inter-Organizational Networks, Survey Research, Partial Least Squares - PLS). Presented at SEDSI 2005 Regional Conference in Raleigh, NC (February 22-24).

Samaddar, Subhashish and Priestley, Jennifer "Network Structure and Inter-organizational Knowledge Sharing Capability" (Key Words: Knowledge Management, Supply Chain, Absorptive Capacity, Shared Identity). Presented at DSI National 2005 Conference in SanFrancisco, CA (November 20-22).

WEBCASTS

Priestley, Jennifer and Payton, Fay."Real World Learning:What can you do togive your grads an edge"? Presented Live via the SAS website on March 25, 2007.

Priestley, Jennifer. “Someone You Should Know: Stats Prof Jennifer Lewis Priestley”. Presented via webcast on May 31, 2012.

INVITED BLOGS/INTERVIEWS/INVITED SPEAKING ENGAGEMENTS

Priestley, Jennifer “4 Reasons a Data-Minded Company Should Partner with a University”, April 28, 2016.

Preparing for Big Data Careers: Interview with Jennifer Priestley, Kennesaw State University, February 3, 2016.

Priestley, Jennifer “Data Science: The Evolution or the Extinction of Statistics”, Amstat News, January 1, 2016.

Priestley, Jennifer “Jennifer Lewis Priestley Talks Analytics and Kennesaw State University”, icrunchdata.com, January 22, 2016.

Priestley, Jennifer “Is it time for a Ph.D. in Data Science?”, SAS Analytics 2015, Las Vegas, NV, October 27, 2015.

Priestley, Jennifer “University Analytics Partnerships with Government”, Technology Association of Georgia, Atlanta, September 8, 2015.

Priestley, Jennifer “Who Wants to be a Data Scientist”, Analytics Summit at Georgia Pacific, July 22, 2015.

Priestley, Jennifer “How Big Data is Changing Education”, Big Data Week, Panel Discussion, Atlanta, May 6, 2014.

Priestley, Jennifer “Building an Analytical center of Excellence”, Bentley University, Waltham, MA, June 22, 2015.

Priestley, Jennifer “Payday Loan Rollovers and Consumer Welfare”, Consumer Credit Research Foundation, Washington DC, May 13, 2015.

Priestley, Jennifer “The Role of Data in Decision Making”, Atlanta Planned Giving Council, Atlanta, GA, May 7, 2015)

Priestley, Jennifer “Data Science Education - KSU, Emory and GT Perspectives”, Data Science ATL, Presentation and Panel Discussion, Atlanta, June 11, 2014.

Priestley, Jennifer “Programming Notes in Binary Classification”, Equifax SAS Users Group, Atlanta, July 16, 2014.

Priestley, Jennifer “What’s the Big Deal About Big Data”, Atlanta CEO Council, Atlanta, July 21, 2014.

Priestley, Jennifer “What’s the Big Deal About Big Data”, North Highland Consulting Partners Meeting, Atlanta, July 23, 2014.

Priestley, Jennifer “Unicorn Farms: How Universities are Training the Next Generation of Data Scientists”, Computer World, Data+ Editor’s Choice Awards, Phoenix, September 8, 2014.

Priestley, Jennifer “How Analytics Empowers Business”, Panel Discussion, Computer World, Data+ Editor’s Choice Awards, Phoenix, September 9, 2014.

Priestley, Jennifer“Big Data, Data Science and University Education: What all Students
(and Professors) Should be Thinking About”, Georgia Regents University, Augusta, GA, October 9, 2014.

Priestley, Jennifer “Unicorn Farms: How universities are training the next generation of Data Scientists”, SAS Analytics Conference, Las Vegas, NV, October 20, 2014.

Priestley, Jennifer Technology Association of Georgia Panelist and Competition Judge, Atlanta, November 2, 2014.

Priestley, Jennifer “Who Wants to Be a Data Scientist?”, Atlanta Chief Data Officer Summit, Atlanta, November 4, 2014.

Priestley, Jennifer “What’s next for Big Data?”, Panel Moderator, Atlanta Chief Data Officer Summit, November 4, 2014

Priestley, Jennifer “Who Wants to Be a Data Scientist?”, COX Analytics Summit, Atlanta, November 5, 2014.

Priestley, Jennifer “Perspectives 2014: What is next for Big Data”, KPMG Partner Analytics Summit, Atlanta, December 2, 2014.

Priestley, Jennifer “Desperately seeking: Data Scientist, salary $170K+, NEEDED YESTERDAY!, March 6, 2015, Atlanta Business Chronicle.

Priestley, Jennifer “Black Friday shopper or Cyber Monday shopper? The biggest difference may not be what you expect”, November 24, 2014, Atlanta Business Chronicle.

Priestley, Jennifer “Avoiding the Creep Factor”, Issue 7, 2014, ANA Magazine

Priestley, Jennifer “Analytics Talent: Getting Ready for 2014 and Beyond”, December 17, 2013

Priestley, Jennifer “Three Traits That Make a Good Data Scientist”, December 18, 2013

Priestley, Jennifer “Data Science Does Not Belong in Business Schools”, November 15, 2013, InformationWeek

Priestley, Jennifer “Universities Need a Data Science Rethink”, October 13, 2013

Priestley, Jennifer “Big Data Career Switch: 4 Key Points”, July 17, 2013, InformationWeek

Priestley, Jennifer “Make a University Partnership Your Big Data Weapon”, January 2013

Priestley, Jennifer “Retailing Nears Holy Grail in Big Data”, December 6, 2012, Atlanta Business Chronicle.

Priestley, Jennifer “Big Data Education: 3 Steps Universities Must Take”, November, 2012, InformationWeek

Priestley, Jennifer “Let's Come Together on Data Science”, October, 2012