Application Developer Intern @IBM focused on healthcare claims reporting and analytics, building lab-stage automation systems aligned with real enterprise data workflows.

I’m an Application Developer Intern working in the healthcare claims reporting domain.
My work focuses on internal reporting systems, data automation, and analytics pipelines inspired by real-world enterprise workflows.

I prefer a procedure-oriented, reliability-first approach—building systems step by step, validating outputs, and understanding failure modes before scaling or modernizing.

⚠️ Lab-Stage Disclaimer
All repositories here are exploratory, alpha, or beta prototypes built using mock or safe datasets.
These projects are intended to learn production-style patterns, not to represent deployed production systems.

I value:

• Data safety and backups
• Controlled automation
• Reporting accuracy
• Maintainable, explainable logic over hype-driven development

• healthcare-claims-reporting-pipeline
  Step-by-step reporting pipeline that ingests operational data, computes core metrics (AA rate, claim volumes), and generates HTML/Excel reports.

• claims-analytics-timescaledb (Alpha)
  Production-style time-series analytics backend using PostgreSQL + TimescaleDB, exploring aggregates, compression, indexing, and performance tuning.

• Excel-Safe-Data-Cutoff-Tool (Beta)
  Controlled Excel cleanup automation with backups, validation, and safeguards.

• Safe-Data-Cutoff-Tool_ui (Experimental)
  Streamlit UI prototype for managing sensitive cleanup workflows safely.

• SpikeDip-Exporter-tool (v1.0 & v2.0)
  Selenium/Playwright-based internal automation for dashboard exports (project sunset before production).

• Claims-Reporting-Automation-System (Paused Prototype)
  AI-assisted modernization concept using FastAPI, React, PostgreSQL, and GCP — paused to reduce over‑dependence on AI-generated inputs.

• Languages: Python, SQL, JavaScript
• Data: PostgreSQL, TimescaleDB, Excel automation
• Automation: Selenium, Playwright
• Backend & Cloud (learning/prototype): FastAPI, GCP
• Focus Areas:
  • Healthcare claims reporting
  • Automation reliability
  • Data analytics & metrics
  • Internal tooling

• Strong foundations in enterprise-style reporting
• Clear, auditable automation
• Domain understanding over surface-level modernization
• Long-term growth toward software engineering & data-driven systems

📍 Bangalore, India
🔗 Open to learning, feedback, and thoughtful collaboration