Analyzed bike share data to determine how to convert casual riders into members. Used R to clean and transform the data, and Tableau to create dashboards to allow users to explore the visualized data.

Analyzed data from the world health organization to visualize trends in COVID infections and vaccinations. Used Excel to format the data, created a database with Microsoft SQL SMS. I used MySQL to explore and transform the data, and Tableau to visualize the data.

Used Python with Pandas to find statistical correlations between different variables in movie box office revenue data, and visualized these correlations with Seaborn.

Used SQL to clean and transform a dataset on Housing purchases in Nashville.

Used Tableau to visualize Global CO2 emissions by country.