Claims Processing Transformation — US Health Plan
Role: Lead Business Analyst
Impact: ~28% processing cycle time reduction
Tools: Jira, SQL, Confluence, BPMN

Case Study Content - 

Problem
Claims adjudication required excessive manual review, causing delays and backlog growth.

What I did

• Conducted stakeholder discovery workshops across claims, provider ops, and IT
• Created As-Is / To-Be process flows
• Authored epics, user stories, acceptance criteria
• Supported UAT planning and defect triage

Outcome

• Claims processing time reduced ~25–30%
• Manual intervention reduced significantly
• Improved processing SLA adherence

Skills Used
Claims systems, process mapping, stakeholder management, UAT execution

Benefits Enrollment Platform Upgrade — UK Insurer
Role: Senior Implementation Consultant
Impact: Enabled 50k+ member digital enrollment
Tools: Jira, APIs, Configuration tools

Case Study - 

Problem
Legacy enrollment platform limited scalability and caused manual configuration errors.

What I did

• Led requirement workshops with HR clients and insurer operations
• Defined product configuration requirements
• Coordinated API integration testing
• Led production cutover and hypercare

Outcome

• Enrollment processing fully digitized
• Configuration turnaround time improved ~40%
• Successful onboarding of multiple enterprise clients

Policy Administration & Provider Data Optimization
Role: Lead BA
Impact: Improved policy data accuracy by ~30%
Tools: SQL, Data validation scripts, Excel automation

Case Study - 

Problem
Provider and policy data inconsistencies caused downstream claims errors.

What I did

• Performed SQL-based data analysis to identify inconsistencies
• Defined validation rules and reconciliation reports
• Supported data migration validation

Outcome

• Significant reduction in data-related claim rejections
• Improved data governance framework

Multi-Country SaaS Implementation Delivery
Role: Implementation Manager
Impact: Delivered deployments across 8+ regions
Tools: Jira, Agile, Release planning tools

Case Study - 

Problem
Global rollout required coordination across multiple stakeholders, regions, and release cycles.

What I did

• Built rollout roadmap and implementation strategy
• Led cross-functional sprint planning
• Managed cutover planning and risk mitigation

Outcome

• Successful multi-region go-lives delivered on schedule
• Reduced deployment risks through phased rollout

Operational Analytics & Reporting Automation
Role: Data Analyst / BA
Impact: Reduced reporting effort by ~60%
Tools: SQL, Excel automation, dashboards

Case Study - 

Problem
Operations teams relied on manual reporting, creating delays in decision-making.

What I did

• Developed SQL queries to generate operational KPIs
• Built automated reporting dashboards
• Standardized weekly executive reporting

Outcome

• Reporting turnaround reduced drastically
• Enabled real-time operational insights

Investment Planning SaaS Calculator (Personal Product)
Role: Product Owner / Builder
Impact: End-to-end product built and deployed
Tools: Vercel, GitHub, AI-assisted coding

Case Study - 

Problem
Users needed a simple tool to plan SIP, SWP, and investment projections without complex spreadsheets.

What I did

• Designed product concept and UX flows
• Built calculator logic and deployed via GitHub + Vercel
• Designed pricing and monetization strategy

Outcome

• Functional SaaS application launched
• Demonstrates hands-on product ownership, technical execution, and delivery capability

URL - Click here 

Role: AI Evaluator & QA Contributor Status: Ongoing Tools: Airtable, custom evaluation frameworks, prompt testing tools

What I do

• Review and evaluate AI-generated outputs for accuracy, relevance, safety, and logical consistency
• Identify edge cases, failure patterns, and quality gaps across model responses
• Design and apply structured evaluation rubrics and annotation workflows
• Provide documented feedback and actionable recommendations to product and data science teams
• Support prompt testing, benchmarking, and model improvement cycles

Why it matters Combines my background in structured analysis and documentation with hands-on exposure to how AI systems are built, tested, and improved — giving me practical insight into AI product development from the inside.