
Medical student majoring in Health Informatics and Information Management at the University of Mississippi Medical Center (UMMC) with a strong foundation in data visualization, programming, and statistical analysis, skilled in Python, R, and Tableau. Passionate about transforming complex data into actionable insights, with a keen eye for detail and innovation. Eager to leverage skills in data cleaning and analysis to drive impactful solutions and support data-driven decision-making.
Sandbox Traffic Analysis
Used Excel and R to clean and visualize data related to increasing traffic growth rates in urban cities related to NY versus
rural, and generated predictions in potential remedies to the growing population.
• Used Tableau to present findings to stakeholders.
• Conducted comprehensive analysis of busiest transit hours within cities to identify patterns and trends in order to decrease
traffic jams and accidents by at least 10%.
Cyclist Case Study
• Clean, organized, and analyzed 1
2 months of historical data from bike-share company using R and excel.
• Identified patterns in consumer behaviour and provided recommendations to increase consumer memberships by 1
5%.
• Used BigQuery to query, chart, and analyze data of the company's last 7 year growth rates in relation to exclusive services
offered by them vs other local competitor biking companies.
Bellabeat Capstone Project
• Used R to clean and analyze data identifying trends in user behaviour.
• Created visualizations and presented findings via slide decks and Tableau dashboard.
• Analyzed smart device fitness data to provide actionable insights for a wellness company.
San Francisco Boba Tea Shop
• Used Excel and SQL to clean messy datasets from retail company.
• Identified and corrected inconsistencies, missing values, and outliers.
• Built interactive dashboards using Google Data Studio for executive reporting