Internship Projects

Healthcare Data Dashboard – Interactive Reporting System

Internship Role: Software Development Intern
Description:
Developed an internal data visualization dashboard for healthcare analytics, allowing teams to track patient trends, claims processing, and cost analysis. The project involved integrating APIs to fetch real-time data and creating interactive reports for better decision-making.

Technologies Used:

  • Frontend: React, Chart.js, Tailwind CSS
  • Backend: Python (Flask), PostgreSQL
  • APIs: FHIR (Fast Healthcare Interoperability Resources) for medical data

Key Takeaways:

Implemented role-based access control for secure data access

Built a real-time dashboard with secure API integration

Improved data query speed by optimizing PostgreSQL indexing

Claims Processing Automation – AI-Powered Document Parser

Internship Role: Machine Learning & Automation Intern
Description:
Designed and implemented an AI-driven claims processing tool that extracts key information from scanned medical documents using Optical Character Recognition (OCR) and Natural Language Processing (NLP). This automation reduced manual data entry and improved processing efficiency.

Technologies Used:

  • Programming Language: Python
  • Libraries: TensorFlow, OpenCV, SpaCy, Tesseract OCR
  • Features: AI-driven text extraction, automated validation checks, database integration

Key Takeaways:

Developed a secure pipeline for handling confidential healthcare data

Automated claims processing, reducing manual effort by 60%

Improved text recognition accuracy using deep learning models

Member Portal Enhancement – Secure Authentication System

Internship Role: Full-Stack Development Intern
Description:
Enhanced the BCBST Member Portal by implementing a more secure authentication system with Multi-Factor Authentication (MFA) and Single Sign-On (SSO) for improved user experience and security. The project focused on integrating industry-standard security protocols while maintaining a seamless login experience.

Technologies Used:

  • Frontend: Angular, Bootstrap
  • Backend: Node.js, Express.js
  • Authentication: OAuth 2.0, JWT, AWS Cognito

Key Takeaways:

Improved response time for authentication requests by 30%

Strengthened member data security with MFA & SSO integration

Optimized login flow for over 500,000 users