As a Statistician for the North Carolina Department of Health and Human Services, I spend my days using data analytics to fight fraud, waste and abuse in the Medicaid program. I’ve recently discovered that I also have a passion for teaching. I know that learning statistics can, and should, be fun. It is, after all, the mathematics of games and gambling. I am always working to communicate this sense of fun to my students.
I was born in Baton Rouge, LA and lived for many years in New Orleans. I moved to Durham in 1999 and currently live in Creedmoor, NC, about 25 miles North of Raleigh. When I’m not in the office or doing schoolwork, you can usually find me playing guitar in a bluegrass jam somewhere, or driving my roadster on twisty mountain roads.
Master of Statistics, 2018
North Carolina State University
BA in Mathematical Sciences, 2015
University of Illinois at Springfield
This course is a study of basic descriptive and inferential statistics. Topics include types of data, sampling techniques, measures of central tendency and dispersion, elementary probability, discrete and continuous probability distributions, sampling distributions, hypothesis testing, confidence intervals, and simple linear regression.
This course introduces SAS for analytics. Topics include utilization of analytical and statistical software packages for data management, data visualization, and exploratory data analysis. Recent Syllabus
This course covers applications of SAS for data management and reporting. Topics include data management, data preprocessing, and modeling including linear and logistic regression analysis using programming tools. Upon completion, students should be able to process data and generate reports that support business decision-making.
This course covers advanced applications of predictive models using Python. Topics include the advanced use of classification and regression models in real-world scenarios.