Projects I've worked on

Covid-19 Vaccinations, Cases, and Deaths Analysis: PSTAT 100

● Explored Covid trends using Python to highlight relationships between death and vaccination rates by joining two datasets that varied from 50,000 to over 1,000,000 cases consisting of Covid-19 deaths and Vaccines Administered throughout the U.S

● Produced plots showing the progression of Covid cases throughout February 2020 to February 2023

● Created a detailed report on the correlations between deaths and number of vaccinations administered as well as using prediction to compare with real world results.

2020 Election Vote Analysis in Alaska & Washington D.C.: PSTAT 135

● Utilized Python and PySpark on two 400,000 - 500,000 row dataset to cross - analyze voter turnout and party traits.

● Used machine learning classifiers such as Logistic Regression, Decision Tree, Random Forest, and Naive Bayes to train the model and predict voting trends.

● Visualized voter’s party traits along with creating a heatmap for each classifier.