American Traveler PIC Math Project:
Forecasting Demand for
Traveling Nurses
(Completed May 2024)


Worked with Robbie Bok: CEO of American Travelers


Click Here Presentation Slides (pdf)
Click Here For Written Report. (pdf)
Click Here For Video Presentation

This project involved working with a partner. I focused on all the data collections from multiple sources, and applied the equations my partner created and turned them into R code. I also worked on the LaTeX written report and presentation.

Using 2024 March Madness
Analysis Project.
(Completed May 2024)

Click Here For RMD. Report
Click Here For Knitted RMD. Report

This project involved working with 1 group member, delegating written, code, mathematical, and presentation work for a presentation. I mainly focused on code and creating the LaTeX presentation slides as those are my strengths. I wrote the raw R code and let my partner focus on the mathematical concepts. I then took their equations and turned them into code.

Using GPT4.0 to Find a Fugitive
in Under 15 Minutes.
(Completed Nov 2023)

Click Here To Watch Video Explaining Process

This project involved using GPT4.0 to complete a fugitive search for a criminal justice class. Using that and general Google skills, I got an address to check; faster than anyone in my class. However, I did nothing with it as it was just a project, not a job.

AlexNet to Sort Cars From Semi-Trucks
(Completed May 2023)

Click Here To Watch Video explaining AlexNet
Click Here To Try a Demo of the Code

This project involved training the AlexNet model on a dataset of images of cars and semi-trucks and then using the model to automatically sort incoming vehicles. This could greatly increase the efficiency of charging highway tolls. The economic importance of this project lies in the potential cost savings and increased productivity that can be achieved through toll automation. Additionally, this technology could be scaled up and applied to other areas of logistics, further increasing its economic impact.

AlexNet to Identify Flowers
(Completed Feb 2022)

Click Here To Try a Demo of the Code

This project involved training the AlexNet model on a dataset of images of flowers. The goal is to be able to input an image of a flower and have its species be identified. An AlexNet model trained to sort flowers could be used to help automate the process of identifying and sorting flowers in a greenhouse or a flower shop. This could potentially save time and reduce errors in the sorting process, as well as provide more accurate information about the different types of flowers available.