Welcome to an HTML R Markdown document outlining me, Aidan Calderhead! You will find details on my career background and trajectory, background in analytic software, and general fun facts about me. This project was created for the completion of BANA 7025 Lab Module 2: Part 1. For additional details, check out my LinkedIn profile.
Hello! I am in the business of learning how to cultivate data-driven decision-making through mathematics and data analytics, and I’m excited to be pursuing this calling at the M.S. Business Analytics program at the University of Cincinnati. My current career interests involve cross-functional roles that heavily utilize mathematical modeling, optimization, and statistics through computational data analysis, which is why I’m pursuing roles in operations research analytics to utilize these interests in the business world. I have a loose dream that one day I could be involved in disaster response analytics, but that feels like a lifetime away!
Most of my professional experience stems from student roles at Malone University. I held the roles of:
These roles provided me with entry-level technical skills in data cleaning and data visualization with Tableau in addition to the following soft skills:
Currently I’m a master’s student in business analytics at the University of Cincinnati with an elective focus in analytics techniques with mathematics and operations analytics. During this fall semester, I’m currently working as a TA for Business Analytics I/II (in two different sections), and I’m open to additional part-time work to be able to pay for my living expenses!
I would like to note that my programming experience start at the age of 13 with Scratch, a visual block-building approach to programming designed by MIT to make coding more accessible for all ages. I’ve come a long way since then!
I first used R in my Probability and Statistics II course at Malone back in the spring semester of 2020. We used R in that class for three projects and some homework assignments to conduct statistical tests and create a predictive model for classifying the Iris Flower data set. However, I haven’t touched R since that course. It’s certainly been awhile!
Most of my analytics experience has revolved around Python and Excel, which I’ve used for course projects such as my honors thesis, which I implemented in Excel, and independent projects such as when I attempted to determine the best secondary character to counter the weaknesses of a player’s primary character in Super Smash Bros Ultimate, which I primary completed with Python with data storage in Excel.
I hope you enjoyed getting to know me a little more :)