Sophomore at UC Berkeley who turns public data into clear analytics and visuals for finance and health insights.
Projects include a TruBridge healthcare data analytics externship focused on public datasets, statistical analysis, and dashboard-ready visualizations.
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TruBridge · Sep 2026 · ✅ Verified by Extern
A TruBridge externship in healthcare data analytics focused on working with public datasets, statistical analysis, and dashboard-ready visualizations.
Sophomore at UC Berkeley who turns public data into clear analytics and visuals for finance and health insights.
I am a junior at UC Berkeley studying Applied Mathematics with a career focus in finance. I have completed a TruBridge healthcare data analytics externship where I worked with public datasets, performed statistical analysis, and prepared dashboard-ready visualizations.
Externships
TruBridge Healthcare Data Analytics Externship
Completed · Sep 2026
Experience
Executive Officer
Yahweh Apparel · August 2024 – Present
Student Assistant
UC Berkeley College of Environmental Design · September 2026 – Present
Guest Services Representative & Event Staff
Foodieland · June 2024 – Present
Healthcare Data Analytics Extern
TruBridge Healthcare · June 2025 - September 2025
Student Researcher
University of California, Irvine · July 2023
Education
University of California, Berkeley
BA in Applied Math, Concentration: Actuarial Science, Global Public Health Minor
Skills
✅ Verified by Extern
A TruBridge externship in healthcare data analytics focused on working with public datasets, statistical analysis, and dashboard-ready visualizations.
The work analyzed public healthcare financing, disease mortality, and survey datasets to compare funding models and outcomes across geographies. The student identified and documented the WHO Global Health Expenditure database, cleaned and normalized multiple CSVs in Google Colab with pandas and NumPy, and produced EDA visuals and written interpretations. The deliverables included cleaned Colab
I delivered cleaned, normalized datasets and Colab notebooks, a data quality report, EDA charts with written interpretations, a linear regression showing a strong positive correlation (r=0.94, R²=0.96, p<0.001) in AskCHIS, and an interactive dashboard comparing heart disease by insurance type (2009–2014).
