From prescribing medications to prescribing data solutions - I bring a clinician's eye to every dataset I touch.
I'm a Doctor of Pharmacy turned Data Analyst - which means I don't just clean data, I understand why that patient readmission metric matters, what that drug code means, and who is affected when the numbers are wrong.
I recently completed my M.S. in Health Informatics @ Indiana University Indianapolis while working as a Research Data Analyst at IU School of Health & Human Sciences.
Most data analysts learn healthcare from the outside. I lived it for 6 years as a pharmacist - that's 6 years of reading ICD-10 codes, understanding drug-drug interactions, and caring about data accuracy because wrong data = wrong patient outcomes.
Languages: SQL · Python · R
Visualization: Power BI · Tableau · Excel
Healthcare Standards: FHIR · HL7 · ICD-10 · SNOMED CT · REDCap
Research: IRB Compliance · HIPAA · Statistical Analysis · lavaan
| # | Project | Tools | Description |
|---|---|---|---|
| 1 | Hospital Readmissions Analysis | SQL · Python | CMS dataset analysis uncovering readmission patterns |
| 2 | FHIR ETL Pipeline | Python · FHIR · HL7 | End-to-end ETL pipeline - FHIR APIs, SNOMED CT mapping, HL7 v2 generation |
| 3 | HINTS Path Analysis | R · lavaan ·SQL · PowerBI | Path analysis of HBM constructs predicting physical activity (N=6,590) |
| 4 | CKM Physical Activity Study | R · REDCap · Excel | Active clinical study - 50 enrolled, accelerometer + survey data collection |
🏅 Google Data Analytics - Coursera
🏅 CITI Human Research - Social/Behavioral & Biomedical
🏅 GCP Clinical Research - CITI
I can spot a data quality issue and tell you which enzyme pathway that drug affects. Not many analysts can say that.
📍 Indianapolis, IN · Open to Data Analyst & CRC roles · Open to relocation