Currently an Extern @TruBridgeWith a BS in Biology and MS in Computer Science, I am building practical data skills through an externship in healthcare analytics, turning healthcare data into clear insights.
Projects include analysis and visualizations completed during the TruBridge externship, showing data cleaning, exploratory analysis, and presentation of findings.
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TruBridge✅ Verified by Extern⏱️ In progressA TruBridge externship in healthcare data analytics focused on analyzing public health datasets and building data products that reveal clinical and operational patterns.
With a BS in Biology and MS in Computer Science, I am building practical data skills through an externship in healthcare analytics, turning healthcare data into clear insights.
Hi! I am Preethi Sridhar. I am early in my career and exploring data and healthcare analytics through the TruBridge Healthcare Data Analytics Externship. I am learning practical analysis workflows and tools while building portfolio work from the externship.
Externships
TruBridge Healthcare Data Analytics Externship
TruBridge
Education
New York Institute of Technology
M.S. Computer Science · Class of 2026
New York Institute of Technology
B.S. Biology · Class of 2024
Skills
✅ Verified by Extern · ⏱️ In progress
A TruBridge externship in healthcare data analytics focused on analyzing public health datasets and building data products that reveal clinical and operational patterns.
The project worked with large public healthcare datasets to identify patterns in infections and clinical outcomes. The work established analytical approaches, documented limitations of correlational methods, and produced foundations for downstream statistical modeling and dashboard development.
I selected and validated the CDC PLACES county-level CSV using a six-dimension fitness checklist, confirming it contained paired health outcomes and SDOH variables for over 3,100 counties with minimal missingness.
The project compared options, selected the CDC PLACES county CSV, applied a six-dimension fitness checklist, and confirmed the file contained paired health outcomes and SDOH variables for >3,100 counties with minimal missingness.
