Description:
Data exploration project using SQL Server and two public COVID-19 tables (deaths and vaccinations). I wrote queries using joins, CTEs, temporary tables, and views to explore and organize the data. Shows my ability to work with databases and turn raw data into...
Developed an Excel dashboard for tracking sales orders, organizing order data, monitoring order status, and analyzing requested quantities. The project included data organization, filters, KPI summaries, and visual charts to improve data comprehension and support informed decision-making.
The project automates the Accounts Payable process by consolidating separate financial data files.
Using Excel’s VLOOKUP function, it links a central summary sheet (AP_Summary.xlsx) with two source workbooks to automatically fill in missing information. It reads the Vendor ID to pull the matching company name from Vendor_Master.xlsx. It reads the Invoice Number to pull the correct billing total from Invoice_Register.xlsx. This process eliminates manual cross-referencing, cuts down on data entry errors, and instantly creates a unified financial dashboard for efficient invoice tracking and accurate bookkeeping.
Medical Document Intelligence Convert unstructured medical documents into structured, usable healthcare data. Technologies: Python, FastAPI, OCR, LLMs, Pydantic, PostgreSQL
Medical OCR & Document Processing Extract text and document structure from scanned medical PDFs, reports, prescriptions, and clinical documents. Technologies: OCR/Vision APIs, Python, document processing pipelines
AI-Powered Data Validation Validate extracted information against defined schemas and processing rules before it enters downstream systems. Technologies: Pydantic, Python, rule-based validation, LLM validation
Evidence & Traceability Connect extracted clinical information back to its original document and source location. Technologies: PostgreSQL, evidence tracking, document versioning, hashing
Human-in-the-Loop Review Create workflows where uncertain AI extractions are sent to a reviewer instead of being blindly accepted. Technologies: React, TypeScript, FastAPI, PostgreSQL
FHIR & Healthcare Data Structuring Transform extracted clinical information into structured healthcare formats suitable for integration workflows. Technologies: HL7 FHIR, JSON, Pydantic, Python
Healthcare AI APIs Build APIs that allow healthcare applications to submit documents and receive structured clinical information. Technologies: FastAPI, REST API, Pydantic, Uvicorn