
Results-driven healthcare data analyst with 14 years of experience in public health, healthcare operations, and advanced analytics. Proficient in extracting, transforming, and visualizing complex datasets using Python, SQL, Tableau, and Power BI to facilitate data-informed decisions. Extensive background in health disparities, clinical care coordination, and predictive modeling. Skilled in predictive analytics modeling and creating machine learning models; holds a M.S. in Data Science with a specialization in health informatics.
Programming & Tools: Python, SQL, SAS, R, SPSS, Microsoft Excel
Data Visualization: Expertise in Tableau and Power BI for interactive dashboards and visual analytics
Statistical & Predictive Analysis: Statistical analysis, big data analysis, data-driven forecasting, and machine learning model development
Reporting & KPIs: Strong reporting proficiency, key performance indicator (KPI) analysis, and data-driven decision making
ETL & Cloud Platforms: ETL pipeline development and data processing in Google Cloud Platform (GCP)
UX Research & Survey Tools: Skilled in utilizing Qualtrics for user experience and survey research
Public Health Data Standards: Knowledge of HIPAA, IRB, and data governance policies