I am a Healthcare Data Analyst based in Seattle, Washington, with over 3 years of professional experience and a Master of Science in Data Analytics for Business from Seattle Pacific University, Class of 2025.
Healthcare is not just my target industry - it is the domain I am genuinely invested in. I have seen firsthand how the right data, presented clearly and at the right moment, can change the decisions clinicians make and the outcomes patients experience. That belief shapes how I approach every project - not as a technical exercise, but as an opportunity to build something that actually matters to the people on the receiving end of healthcare decisions.
My work spans the full analytics stack. I have built clinical trial patient selection pipelines, patient risk scoring models, pharmaceutical sales analytics platforms, and real-time workforce health dashboards. I work in Python, PySpark, and R on the engineering side, and deliver findings through Tableau, Power BI, Looker Studio, and R Shiny on the business intelligence side.
I am actively seeking full-time roles in healthcare analytics, health informatics, and pharmaceutical data engineering, and open to relocation across the United States.
Healthcare Analytics
Clinical trial optimization, patient risk scoring, and pharmaceutical analytics. Translating complex clinical data into decisions that improve patient outcomes and drive operational efficiency.
Data Analytics & Engineering
Production-grade pipelines from raw ingestion to actionable insight. Real-time streaming, partitioned data lakes, and scalable cloud architectures built for enterprise environments.
Business Intelligence
Executive dashboards in Tableau, Power BI, Looker Studio, and R Shiny that decision-makers actually trust and use. Every visual choice is driven by the business question, not the tool.
Machine Learning
End-to-end ML pipelines - Random Forest, Gradient Boosting, Neural Networks - with rigorous evaluation and clinical interpretation that goes beyond accuracy scores.