Hi! My name is Matt Satterfield. I’m a Consumer Credit Risk Lead Analyst with Fifth Third bank. My focus is on Macroeconomics, asking questions like
My secondary focus is product-specific, primarily with the Auto book.
I love what I do, but the path there was…winding.
I began a series of careers with service in the military. After that, I worked at a theme park for several years. Then I worked in retail for 15+ years. I was largely unhappy, as none of these really “fit”.
During this period, something life-changing occurred. As a recreational cyclist, I decided to challenge myself by enrolling in “Ride The Rockies”, a 5-day bike tour through through the Rocky Mountains - covering 380 miles, and 25,000 feet of elevation gain!
Once I had achieved that, I was confident that I could do just about anything. I was in my early 40’s at this point, and decided it was not too late to wipe the slate clean. I moved from Akron, Ohio, to attend the University of Cincinnati, where I earned my undergraduate degree in Mathematics with a focus on Statistics.
I quickly got a job at Fifth Third Bank as an Analyst I. I moved through the ranks to Lead Analyst, and I’m not stopping there!
We almost exclusively use SAS at work, so I have very little experience with R. I took a Linear Regression course that used R, and that is the extent of my experience with it.
Fortunately, there is a plethora of guidance on the web related to R and R markdown.
For example, if I want to display \((x,y)\) for \(x = 5, y = 7 + x\), simply using (x,y) in the code fails.
A quick Google search shows to use cat(“(”, x, “,”, y, “)”) instead:
x <- 5
y <- 7 + x
cat("(", x, ",", y, ")")
## ( 5 , 12 )
Looking at these results, one might reasonably decide that they do not want the hashes displayed in the output. Another Google search remedies this with the line comment = NA:
x <- 5
y <- 7 + x
cat("(", x, ",", y ,")")
( 5 , 12 )
You can see how readily available troubleshooting options are with a quick internet search.
I look forward to learning more about R as we move ahead. The more computer systems we know, the more marketable we are!