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Hi there visitor,

Welcome to my personal webpage! This is a brief introduction to who I am, my academic and professional background, and my experience with R and other analytic software.

Who I Am

My name is Jay. I am a 21 year old third year in college. It has always been my dream to open a book store of my own. But for now my goal is to get a job at a big company, preferably Fifth Third, to maintain their databases as well as generate reports.

In my free time I enjoy hiking, going to cat cafes, reading, drinking tea, and listening to music. Currently I volunteer at The 86 Coffee Bar and enjoy my job.

Academic Background

In high school I went to Hughes STEM and entered the IT program in the 11th grade. Previously, I was a cyber security major due to my love of coding and my child like admiration of hacking. I lasted one semester, before deciding it wasn’t for me. I wanted to work more closely with the business side of things. Not to mention my love of data and what it means.

As stated before, I am currently in my third year of college. I am a double major in Business Analytics and Information Systems at the University of Cincinnati. I will graduate in December 2025.

Professional Background

I am currently working as a homework helper at the Cincinnati Public Library. My job is fun but boring at the same time. Shockingly, a lot of kids don’t have homework, or that’s what they say. I mostly explore the shelves, find books to read, and watch the kids.

Previously, I worked for:

Experience with R

I have just started working within R at the start of the semester (August 26th 2024) during my Data Mining class. But I plan to, at the end of the semester be experienced with

Here is an example of some of the things I can do in R:
I gave a list of numbers, sorted them, found the mean, and then found the standard deviation

random_values <- c(38,80,12,28,34,21,3,25)
sorted_values <- sort(random_values)
mean_value <- mean(random_values)
sd_value <- sd(random_values)
sorted_values
## [1]  3 12 21 25 28 34 38 80
mean_value
## [1] 30.125
sd_value
## [1] 23.1235

Experience with other Analytical Software

Prior to R, I have had experience in Java, Excel, SQL, Power BI, HTML, and CSS. This semester I have classes on Python, HTML, CSS, and C#. I can successfully transfer data from excel into SQL and Power BI and then manipulate the data to produce charts and reports.

When working at P&G I did have experience using machine learning to analyze ticket data, read new tickets, and suggest solutions. I do hope all the coding languages I learn will stick with me, especially since I am learning so many in one semester.