About

I believe the world will be a better place by understanding the data the around us. We can use this data to make better faster and decesions that are aligned with our objectives. Studying Data Science at Souther Methodist University's Masters of Science in Data Science. If you'd like to learn more about my work.

I'd like to help make the United States Military a better organization. As part of that process I am honing my Data Science Skills at SMU. That means leaning to code and becoming better at analysis to strive towards a more data centered approach to driving decesions. This website is a chance for me to display these skills. And I hope. Connect with some awesome poeple in the world.

Work

In my academic life I am continually learning new techniques and skills. In my first semester I have now built two differencet apps using R Shiny. And worked through a number of data analysis projects to vain valuiable experience. Below is taste of what I've been up to.

In the futre I'll be updating this page with more projects in links for you to check out. If you are interested in feel free to reach out and connect.

Case Study 1

Case Study 2

Case Study 1 "Beer Analysis"

Back

For this assignment, we were assigned into groups of three and were given two data sets and asked to provide business insights into the data as if we were working for Budweiser. The data sets not only needed to be cleaned before use, but also needed to be joined into a single set to be properly used for this study. We were allowed to add in any additional data sources we wished to compliment our data and present better findings to the fictional Budweiser CEO and CFO. Below you can see an overview of the findings in addition to links for the GitHub Repository created for the project and an app I created to display the data.

Beer Data App

GitHub Repository

Case Study 2

Back

This was the final assignment for our DDS 6306 class. This individual project required me to take a data set and apply EDA and machine learning models to answer a fictional clients questions about retaining talent in their business. During the EDA process I found it easier to use an application I built to cycle back and forth quickly inbetween variables in the data set. Below you can see an overview of the findings in addition to links for the GitHub Repository created for the project and the EDA app I created.

EDA Data App

GitHub Repository

Apps

These are three of the apps I have put together in the past two months

Beer Data App

This first app was created to quickly show the EDA data from the first case study that I was given in my Doing Data Science course at SMU.

Revenue Tracker App

This second app was a helpful project that I put together after my director at work was looking for a fast way to show our revenue to the COO of the company to help justify additional hires.

Case Study 2 EDA App

This third app was designed to make doing exploratory data analysis for my second case study project easier. Rather than having to go back and find code to run to look at a graphic again, using the app, I could quickly pull up whichever variables I needed for a quick look at the raw data again.

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