Hello! I am a fourth year student at the University of Cincinnati. I am from Northern Kentucky, about 35 minutes south of Downtown Cincinnati. I am someone who loves sports, which is the main reason I got into analytics. In my future, I want to work with sports analytics in either the NFL, MLB or NBA, within a franchise. Working in the sports industry is my dream job, and majoring in analytics gave me a great opportunity to fulfill my dreams.
Over my years at the University of Cincinnati, I have gotten the opportunity to work at three different companies for Co-ops. My first one was with RWI Logistics in Fort Thomas, Kentucky as a Business Analyst. I worked with multiple different software, but mostly DOMO. My second co-op was with Kimberly-Clark Corp. in Neenah, Wisconsin. I worked as a Supply Chain Analyst. I worked with multiple different platforms/software and learned a tremendous amount about the business world while I was in Wisconsin. My last and most recent co-op was with Kroger - 84.51. At 84.51 I was a FinOps Engineer co-op which just became a team. The goal of our team was to cut costs in the cloud in any way possible, so the company could use it in other areas or more importantly save money.
I have previous experience with R in my previous Business Analytics classes, but it was mainly the beginner concepts with equations. I enjoy R, but still have not been able to use it in a business situation. I don’t know much about what R can do for you in the industry, but as I go through this Data Mining course I believe I will be able to use it in the everyday world.
At Kimberly-Clark, I had the privilege of working in SAP, which was where all the contracts and data was store for both KC and our suppliers. Where I really started to use multiple analytics software was at 84.51. My day-to-day work was with both SQL and Python. I also was hired as part of the ICT program which is the Infrastructure and Cloud Technology program. As part of that I worked as a Platform Reporting Engineer, which was writing code and then converting it as a report in Power BI.