Personal Background

My name is Daniel Kelhoffer and I am a fourth year operations management and business analytics student at the Unviersity of Cincinnati. I am from the Cincinnati Area, growing up near Harrison, OH which is about 30 minutes away from UC. Some of my personal interests are both playing and watching sports, especially anything Cincinnati (Reds, Bengals, Bearcats, etc.), working out, fishing, and just spending time with my friends and family.

Academic Background

A big part of being from the Cincinnati are is that everyone cares what high school you went to, so I guess I’ll start my academic journey there. I graduated from La Salle high school (10 minutes or so from UC) in 2019. I was kind of between Miami University and UC on deciding where to go to school, but since my brother was at UC, almost all my friends were going to UC, and I was pretty familiar with the Lindner College of Business, it ended up being a pretty easy choice to go with UC. Although I currently double major in Operations Management and Business Analytics, it hasn’t always been that way. I originally came in as a business analytics major, but switched to operations management after my first year. However, I was still planning on getting a minor in business analytics, and after enjoying some of my analytics classes I decided to go ahead and double major.

Professional Background

Throughout high school and college I have worked in multiple customer service roles, such as being a crew trainer at McDonald’s and working with classroom tech support at UC. This last spring, I did a reliability engineering Co-Op with Honeywell Intelligrated. At Honeywell, I worked in their safety and productivity solutions group which covers a wide range of products and services, especially those concerning conveyor systems. Some of my responsibilities in this role were to perform reliability analysis on customers’ installed equipment, create data visualizations and reports using parts reliability data, and generate recommended spare parts lists for customers based on each customer’s on-hand inventory and historical data. Overall, this was a great experience where I was able to apply much of what I have learned in school in a business environment.

Experience with R

I have no prior experience working with R, although I will be using it for two of my classes this year (Data Mining and Forecasting/Risk Analysis). Although I lack experience with R, my experience using Python has definitely helped me understand how R works on a conceptual level and I feel like I have a decent understanding what I’ve been learning about R in class.

Experience with Other Analytical Software

Through both school and work, I have been exposed to and learned a variety of analytical software. I have used excel in nearly all my analytics courses, for a wide range of analytical functions including statistical analysis, forecasting, optimization, and simulation. I have also used Python with the Jupyter Notebooks platform in my Data Management and Decision Models classes for many different tasks. Other software I have used for analytics are MS Access and MSSQL.