MLB Shift Ban Effect in Python
In this project, I measure the effects of the MLB banning infield shifts for the 2023 season using Python and libraries such as Pandas, NumPy, and MatPlotLib.
Hi! I'm Teddy Bishop, a data analyst passionate about sports and numbers.
Education: MSc in Business Analytics, BSc in Mathematics
Hard Skills: Excel, SQL, Python, R, and Tableau
Soft Skills: Problem Solving, Project Management, Learning
Portfolio
This portfolio contains projects that showcase my abilities to clean, process, and analyze data.
Ticket Data Dashboard in Tableau
In this project, I use Tableau to visualize trends and demographics for Steelers season ticket holders.
Restaurant Ratings in SQL
In this project, I utilize SQL to answer business intelligence questions about restaurant ratings in Mexico.
Clustering MLB Pitcher Types in R
In this project, I apply principle component analysis and k-means clustering to MLB pitch data using R.
About Me
I am a data analyst from Seattle, WA. I graduated Summa Cum Laude from St. Bonaventure University with a Bachelor's degree in Mathematics, where I played Division 1 baseball for 3 years. Currently, I am pursuing my Master's in Business Analytics online while instructing and coaching baseball. I will be moving to Pittsburgh, PA in August. I am looking for remote roles or an in-person position in the Pittsburgh area. Some of my personal interests include golf, guitar, and video games.