I graduated during the peak time of Covid, and during that time I felt there was a lack of interactive visualizations of Covid data. Post graduation I worked on a personal project focusing on fixing this issue. I developed the application using the Python programming language, Streamlit for the user interface, and Plotly for plotting the data. I later hosted the application on Heroku and created an automated script to regularly update the dataset using a RaspberryPi. This project helped teach me many of the struggles of working on projects from scratch and how to leverage my resources and research solutions for any problems I come across.

My final project for a Machine Learning course involved creating a system to identify Traffic Sign images and classify them. I used the Python programming language and the Keras and Tensorflow libraries to create a Convolutional Neural Network that the images would be processed through. Due to lack of available datasets of US traffic signs I used a program to scrape images and format them to create a small dataset, and then conducted Data Augmentation to further increase the size of the dataset. This project was incredibly helpful with teaching me the intricacies of working with Machine Learning and how to go about improving data models in the future.