Bowling Green State University - Math & Statisitics
Doctor of Philosophy (Ph.D.)
Statistics
Graduate Student Senate
Bowling Green State University
Master of Arts (M.A.)
Mathematics and Statistics
Graduate Student Senate
Bowling Green State University
Computational Statistics
History of Mathematics
Causal Inferences
Linear Statistical Inference
Applied Multivariate Analysis
Applied Simultaneous Inference
Calculus I
II
and III
Hypothesis Testing
Chemistry I and II
Kernel Density Estimation
Graphical Design
Abstract Algebra
Changepoint Analysis
Bayesian Statistics
Linear-Integer Programming
Mixture Distributions
Complex Analysis
Missing Data Analysis
Experimental Design
Exploratory Data Analysis
Educator License - AYA - Integrated Mathematics
State of Ohio Department of Education
OH3127134
Bachelor of Science (B.S.)
Mathematics
Baldwin-Wallace College
Economics
Data Analysis
Time Management
Analysis
Minitab
Statistics
Statistical Data Analysis
R
Research
SAS
Communication
Microsoft Office
SAS Base
University Teaching
SAS Programming
HTML
Python
Statistical Programming
Leadership
Teaching
Food and Drug Administration Consulting Project
We proposed a new method combining range regression and skewed-weighted logistic regression to analyze the FDA-HDS 2008
and 1994 data for the identification of sub-populations of people who are most sensitive to change in food label or nutritional knowledge in terms of taking a single vitamin. The Scobit logistic regression method was used because behaviorally
decision makers could be most sensitive to explanatory variables at a probability different from 50%. Due to survey bias and random fluctuations
range regression was used to stratify respondents into groups where the data was first weighted
and then modeled by scobit regression.
Yuanting Zhang
Dr. John Chen
2016 Business Analytics Competition
Our team modeled donation trends based on demographic information and donation history for an organization. In our analysis we imputed missing data
reduced the dimensions of the data via factor analysis
used model selection techniques such as stepwise SIC model selection and cross validation to build logistic and regression models to predict one's likeliness to donate and donation amount
and used a Gaussian finite mixture model to segment the market into distinct and descriptive clusters. The clusters can be used to target donors via marketing. We earned a top prize for our work which was judged on accuracy of the predictions
explanation of the market segmentation
and the presentation of the results to non-statisticians.
BGSU Retention Analysis
Annually identify and model the trends in BGSU student retention with an emphasis on student involvement. The process involves creating and maintaining a database in SharePoint
using SQL commands to merge student involvement files with institutional research data
and identifying the impact of student involvement on retention when certain demographic variables are controlled.
Christopher Bullins
Stoll
Kevin E.
Baldwin-Wallace College
American Timber and Steel Corp.
Bowling Green State University
Welltower™ Inc.
Disney Parks & Resorts
James Madison University
Toledo
Ohio
Business Insights Data Scientist
Welltower™ Inc.
Norwalk
Ohio
● Summer/Seasonal Work\n\n● Contributed to customer service
organized the lumber yard and stockrooms
and labored in the mill\n\n● Trained new summer employees in safety procedures to operate machinery
Laborer
American Timber and Steel Corp.
Berea
Ohio
● Assisted undergraduate students in understanding
analyzing
and interpreting mathematics\n\n● Utilized effective communication skills to teach mathematics clearly
Mathematics Tutor
Baldwin-Wallace College
Lake Buena Vista
Florida
● Utilized analytic skills to contribute to the revenue management of media advertisement sales by prioritizing advertiser preference\n● Identified trends in advertiser arrivals
Decision Science Professional Intern
Disney Parks & Resorts
Bowling Green
Ohio
\tIdentify and model trends in student retention with regards to student involvement; lead analyst\n\tEffectively teach mathematics and statistics to audiences with varying skill levels; instructor of record\n\tMentor new teaching assistants and collaborate with colleagues and faculty to improve the teachings of undergraduate mathematics and statistics; presented results at SIGMA RUME 2017\n\nhttps://www.bgsu.edu/arts-and-sciences/mathematics-and-statistics/graduate-programs/peer-mentoring-program-/past-mentors.html\n\n● Earned Master's of Arts degree in Statistics\n\n● Ph.D. Candidate in Statistics\n\n● Teaching introductory statistics
college algebra
and calculus\n\n● Analyzing survey data to unveil trends involving recreation use
academic qualities
and social characteristics of BGSU students
Research and Teaching Assistant
Mentor
and Analyst for Student Affairs
Bowling Green State University
Harrisonburg
Virginia
● Collaborated with undergraduate students and faculty to construct a function in R\nthat creates a probability density function for normal variance-mean mixtures\n\n● Our program is designed to model normal variance-mean mixtures by minimizing the\nweighted square distance between an empirical density and the theoretical mixture; the\nempirical density is a kernel density estimator\n\n● Summarized research findings and the discoveries were presented at the Joint Mathematics Meeting (2011) in New Orleans
Student Researcher in Statistics
James Madison University
The Robert Schlea Mathematics Scholarship
Baldwin-Wallace College
Eugene and Elizabeth Lukacs Memorial Scholarship
Bowling Green State University
Dr. E. Loomis Mathematics Prize
Baldwin-Wallace College