In my clinical operations analysis project, I built a Python and Pandas pipeline to clean and validate 42,000+ appointment records before modeling them in Power BI. I identified a 17.54% patient no-show rate and a Q4 data ingestion anomaly, then developed an NLP pipeline to process 21K+ clinical notes.
At Nutrition As Therapy, I redesigned operational tracking and increased monthly authorization volume by 50%. I also reported performance metrics and identified a seasonal drop-off; at Brenzanti, I created an Excel payroll formula system that eliminated recurring overpayment errors. I’m now building data engineering and AI automation skills through hands-on projects.
