ABOUT ME
Hello!
My name is Preston, and I’m a data analyst living in Washington State. Thanks for checking out my website!
I currently work remotely in the healthcare industry and am excited to graduate from Georgia Tech’s MS Analytics (OMSA) program in December of 2022. Through my work & studies I’ve gained a plethora of experience in things data-related, from manipulation to modeling to dashboarding. I would also consider myself an expert Google-user! Perhaps the most valuable skill of all...
Aside from all that stuff, I enjoy watching & playing soccer (Go Barca! Go Sounders!), hiking & camping around Washington, re-watching The Office, and playing some good 'ol videogames.
Programming Languages
Python
R
SQL
JavaScript
HTML5
CSS3
Softwards & BI
Excel
Tableau
Power BI
PowerPoint
QGIS
PROJECTS
Rubik's Cube Competitions Analysis
Overview:
Analysis project focusing on the World Cube Association's database - queried extensively with SQL. Light analysis of several database facets, put together in a Jupyter Notebook
Tools Used:
SQL, Python, Jupyter Notebook
Repository:
Electoral College Visualized
Overview:
Visualization produced by Excel highlighting relative voter weight by state as of November 2020. Involved data manipulation and analysis in Excel (pivot tables) as well as advanced styling techniques.
Tools Used:
Excel
Repository:
Pokémon Dashboard
Overview:
Tableau Public dashboard made with data from the a Pokémon dataset hosted on Kaggle. Involved data manipulation in Excel and Tableau charting.
Tools Used:
Excel, Tableau Public
Repository:
Medicare Advantage Report
Overview:
Tableau Public dashboard made with several sources of csv data from cms.gov. Involves cleaning data & manipulating tables in Excel, joining tables and setting relationships in Tableau, and advanced knowledge of various Tableau charts.
Tools Used:
Microsoft Excel, Tableau Public
Repository:
Gallup World Happiness - 2017
Overview:
Interactive dashboard displaying 'happiness' information from world countries, based on the Gallup 2017 World Poll. Excel, Javascript, Chart.JS, and HTML/CSS were used to analyze, visualize, and host the dashboard.
Tools Used:
Python, Dash, HTML/CSS, Heroku
Repository: