Data Analyst & Data Scientist
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Data Analyst with 10+ years’ experience applying R, Python, SQL and Power BI to generate actionable insights across clinical, public health, and programmatic datasets. Skilled in ETL pipeline development, data visualization, and predictive modeling for healthcare performance and quality improvement. Adept at collaborating with cross functional teams to translate data into measurable outcomes that enhance clinical effectiveness, resource allocation, and decision-making.
Skilled in ETL design, Power BI, SQL, Excel, Python and R. Proven success at the CDC and in USAID-funded programs, improving data quality, reporting accuracy, and decision-making through analytics-driven health system performance solutions.
Holds a Master of Public Health (MPH) in Epidemiology and a Master of Science (MSc) in Applied Statistics, providing a strong foundation in biostatistics, data analysis, and research methods. Complemented by advanced training in Python for Data Science and SQL for healthcare analytics.