About me


Hello! My name is David Slusser. I graduated from Kent State University in May 2020 with a Bachelor of Business Administration with concentrations in Computer Information Systems and Economics. While as an undergraduate, I minored in Applied Mathematics and was a member of both Beta Alpha Psi and Beta Gamma Sigma. I completed my Master of Arts in Economics program at Kent State in May 2021, with a concentration in economic analysis.

My interests include the use of data in understanding sports and economic theory, how to design informative data visualizations, the economics of education, and the cognitive biases in decision making. I've had the opportunity to write about baseball decision making for two different Pittsburgh Pirates blogs and the chance to write previews about the Pittsburgh Pirates in two different books.

Additionally, I've been fortunate to work alongside two professors as an undergraduate. I was initially able to work alongside a professor in the Economics department at Kent State to conduct research in the field of labor economics, focusing on the potential effects a false state test score had on household migration choices. I also worked as a Research Assistant in the Marketing department, where I read academic papers and conducted literature reviews on topics such as consumer psychology and incidental emotions.

If you would like to get in contact with me, you can reach me here:

 Education


Kent State University

May 2020

BBA in Computer Information Systems and Economics

Cumulative GPA: 3.697

Minor in Applied Mathematics

Computer Information Systems GPA 3.810
Economics GPA 4.000
Course # Course Name Semester
CIS 24053 Computer Applications Fall 2016
CIS 24065 Web Programming Summer 2017
CIS 34068 Systems Analysis and Design Fall 2017
CIS 34070 Programming Theory Spring 2018
CIS 44043 Database Management Systems Fall 2018
CIS 44048 Software Integration Spring 2019
CIS 34167 Creating Intuitive Systems Fall 2019
CIS 34170 Technology Bootcamp Spring 2020
CIS 44007 Project Management and Team Dynamics Spring 2020
Course # Course Name Semester
ECON 32041 Intermediate Macroeconomic Theory and Policy Spring 2018
ECON 32050 Applied Econometrics I Spring 2018
ECON 32040 Intermediate Microeconomic Theory and Applications Fall 2018
ECON 42050 Data Preparation Fall 2018
ECON 32051 Applied Econometrics II Spring 2019
ECON 42068 Industrial Organization Spring 2019
ECON 42191 Senior Seminar in Economics Fall 2019
Econ 52072 Labor Economics: Work and Pay Spring 2020
Course # Course Name Semester
MATH 12002 Analytic Geometry and Calculus I Spring 2018
MATH 12003 Analytic Geometry and Calculus II Fall 2018
MATH 22005 Analytic Geometry and Calculus III Spring 2019
MATH 21001 Linear Algebra Fall 2019
MATH 40011 Probability Theory and Applications Fall 2019
MATH 32044 Ordinary Differential Equations Spring 2020
MATH 40051 Probability Theory and Stochastic Processes Spring 2020


Kent State University

May 2021

Master of Arts in Economics

Cumulative GPA: 3.730

Course # Course Name Semester
ECON 52072 Labor Economics: Work and Pay Spring 2020
ECON 62050 Microeconomic Theory Fall 2020
ECON 62054 Econometrics I Fall 2020
ECON 64004 Quantitative Methods in Business Administration Fall 2020
ECON 52086 Economics of Health Care Spring 2021
ECON 62055 Econometrics II Spring 2021
ECON 62056 Time Series Analysis Spring 2021
ECON 62061 Monetary Theory and Policy Spring 2021
Course # Course Name Semester
MIS 64060 Fundamentals of Machine Learning Fall 2020
MIS 64061 Advanced Machine Learning Spring 2021

 Organizations


Beta Alpha Psi
January 2019 - May 2020
  • As an undergraduate student, a member of Beta Alpha Psi, developing professional skills in information systems while providing value to the community through different services.
Beta Gamma Sigma
January 2019 - May 2020
  • As an undergraduate student, member of Beta Gamma Sigma, an academic honor society of AACSB accredited schools. Membership is via invitation to only the top 10 percent of undergraduate business students.

 Experiences


Student Assistant
January 2017 - Present
Office of the Vice President of Student Affairs, Kent State University
  • Assist the operations inside the office of Student Affairs at Kent State University
  • Proofread documents for different members inside the Vice President of Student Affairs
  • Organize, create and upload Student Ombudsman files to an excel spreadsheet
  • Create and maintain a shadow system for different budgets and indexes for the office using Quicken
  • Use internal financial reports to gather and organize data for different indexes throughout the department
Research Assistant
April 2020 - August 2020
College of Business: Marketing Department, Kent State University
  • Reviewed relevant marketing and psychology literature
  • Searched for relevant controls and scales to be used in experiment
  • Helped build and construct support for arguments to support hypothesis
Contributing Writer
March 2016 - May 2019
Rumbunter

 Profile

  • Gathered and aggregated news surrounding rumors, free agent signings, and trades
  • Wrote about how the team is performing on the field and moves they can make off the field
  • Contributed to draft coverage by looking at past trends, publicly available reports and statistics
  • Used excel and R to compute numbers downloaded from Fangraphs, Baseball-Reference, Baseball Prospectus, or Baseball Savant
  • Used Tableau Public, with some instances R, to visualize the data used in any article
Contributing Writer
July 2018 - October 2018
Pirates Breakdown
  • Wrote about on field team performance and management decisions using publicly available data and the use of R and Excel to organize and clean the data along with making calculations

 Projects

Projects I have completed or am currently working on


Data Visualizations:

 Tableau Profile
Data visualizations done in Tableau. The data visualizations involve visualizing baseball data, mainly pitcher data in terms of profile movement and seasonal progressions in certain metrics. These data visualizations were used in my work at the Pirates website Rum Bunter.


 R Pubs Profile
Data visualizations done in R that were used in articles for Rum Bunter.


Kent State SURE

June 2019 - August 2019
Summer Undergraduate Research Experience
  • Assisted a professor with research on migration patterns in Ohio based on school test scores
  • Reviewed previous research on migration patterns, school scores, and home values
  • Cleaned, merged, and analyzed school and household data in R and SAS
  • Ran OLS and logit models to capture the effects of difference characteristics on migration in R

PiratesGuide 2019:

The second edition of PiratesGuide, a preview of the 2019 Pittsburgh Pirates written by online Pirates writers who focus on analytics. Research into the stability of how batters knock runners in given the opportunities that they have with runners on base and roster construction through the use of logit models to measure the probability of making the playoffs based on certain levels and the importance of discounting the future value of wins.
 PiratesGuide 2019


PiratesGuide 2018:

A look into previewing the 2018 Pittsburgh Pirates with analytical pieces. I looked at how the Pirates advantage pitch framing, an undervalued skill they helped find, has disappeared, along with looking at how the Pirates could adapt to a more aggressive style in how they use their pitchers. I helped coauthor a chapter about the Pirates and their outfield defense using visualizations and batted ball data. Along with two other pieces about the 2018 Pirates.
 PiratesGuide 2018


Links To Notable Work:

 Developmental Paths and How Teams Develop Players

 Comparing Pitch Framing Metrics

 Projecting The Pirates 2020 First Year Arbitration

 Role Of Inflation In Baseball and  An Update to Inflation In Baseball

 Examining Starts After Pitching at Coors Field

 Chris Archer Trade Value

 Joe Musgrove Pitch Mix Part 1 and  Joe Musgrove Pitch Mix Part 2

 2018 Double-A Pitchers By Z-Score

 Casey Mize Draft Preview

 Chad Kuhl Pitch Pairings

 Skills


Languages:
C#, CSS, HTML, SQL, EViews, R, R Shiny, SAS, Tableau
Office Tools:
Microsoft Word, Excel, and PowerPoint. Quicken
Certifications:
VMware Certified Associate in Digital Business Transformation

 Interests


My interests include the use of data and statistics in sports and economics, data visualizations, microeconomics, economics of education, and statistical modeling.