I am a Master of Science in Health Informatics professional (UNT '25) and a Bachelor of Pharmacy graduate. I specialize in bridging clinical expertise with advanced technical solutions, including Neuro-Symbolic AI, Knowledge Graphs, and Predictive Modeling for healthcare operations.
I am joining Infectious Disease Doctors, PA as a Revenue Cycle Analyst, where I will apply SQL-driven analytics and Medisoft workflows to optimize financial performance across 60+ healthcare facilities.
| Domain | Skills & Technologies |
|---|---|
| Data & AI |   PyTorch, XGBoost, NLP (ClinicalBERT), Neuro-Symbolic AI |
| Healthcare |   NextGen, HL7/FHIR, HIPAA, ICD-10/CPT Coding, 837/835 EDI |
| Analytics |   Snowflake, BigQuery, ETL Pipelines |
- Serve on the review committee evaluating technical submissions for AMIA Annual Symposiums.
- Critique methodologies in Generative AI (LLMs, RAG) and Predictive Modeling for clinical decision support.
- Reduced claim denials by 25% and manual rework by 20% through SQL-based rebuttal analysis and workflow optimization.
- Achieved a 50% success rate in overturning complex denials by negotiating directly with major payers (Aetna, UHC, BCBS).
Developed a hybrid system combining CMS rule-based logic (NCCI, MUE) with XGBoost to identify high-risk claims pre-submission, using SHAP for regulatory explainability.
Built a GPU-accelerated knowledge graph with >1M biomedical triples to identify drug candidates for Alzheimer’s Disease, recovering NIA-priority therapeutic pathways.
- M.S. in Health Informatics | University of North Texas (Selected as a UNT "Great Grad" 2025)
- B.S. in Pharmacy | Osmania University
- Certified Revenue Cycle Representative (CRCR) | HFMA
- Certified Specialist Physician Practice Management (CSPPM) | HFMA