At Harris Teeter, I analyze inventory levels and medication usage data to identify discrepancies, streamline stock management, and minimize waste from expired medications.
I also process and validate prescription data to uncover trends that support data-driven inventory decisions and improve accuracy in patient care outcomes.
In my Pharmacy Inventory & Demand Analysis project, I used Python, Pandas, and Matplotlib to analyze pharmacy sales data, examine demand patterns, and support inventory planning.
I’ve also used K-Means to identify crash hotspots and created an interactive Tableau dashboard exploring public WiFi access. I’m pursuing a bachelor’s degree in Data Analytics while developing my skills in Python, SQL, Excel, and Tableau.
