At Numpy Ninja, I analyze healthcare datasets, including 24,321 SIRS patient records, to surface clinical patterns related to sepsis. My work includes exploring kidney function and disease severity, and examining clinical biomarkers against BUN levels.
I prepare clinical data with Python and SQL, document datasets with data dictionaries, and develop Power BI data models and Tableau visualizations. I also published healthcare analytics blogs on MAP and BUN through Numpy Ninja Academy.
Earlier, as an Associate Professional, Product Developer at CSC / DXC Technology, I supported the Point IN J policy administration platform and used SQL to investigate data issues and support defect resolution. I also contributed to Java/J2EE development and unit testing.
