Dinithi Arunapriya, Data & Business Analyst
I bring structure to ambiguity and momentum to delivery, with hands-on technical depth. From requirements research and data analysis to QA, KPIs and delivery, I give business and engineering the same clear picture to act on.
- Requirements research
- SQL
- KPI lineage
- Data contracts
- JavaScript
- HTML / CSS
- RAG
- LLM guardrails
- LLM observability
- AI governance
- QA & UAT readiness
- Agile / Scrum
- Project management
What I do
Business analysis with hands-on technical depth
Six areas I work across. Each tile links to the evidence in a case study.
AI & LLM systems
Analyse production LLM systems end to end: orchestration, RAG grounding, guardrails, streaming and token economics.
Live request path · case study 01
- Chat widget
- Chat API
- Input safety checks
- AI model + knowledge base
- Output safety checks
- RAG
- LLM guardrails
- LLM observability
Hands-on development
Trace request handling, API contracts and data models in the codebase, and ship code changes: features, fixes, and prompt and configuration updates.
SQL · JavaScript · HTML / CSS
OnboardIQ buildData & KPIs
Rebuild KPIs in SQL and trace their data lineage, with outcome metrics, reporting layers and quality validation loops.
SQL analysis · KPI lineage · BI dashboards
KPI lineageGovernance & access
Configuration approval workflows (draft → review → legal approval → publish), role-and-permission matrices and audit trails.
AI governance · Access governance
Role matrixBusiness analysis & delivery
Requirements, process mapping and acceptance criteria with traceability, plus scope control and sprint rhythm.
BRD / PRD · Story slicing · UAT readiness · Backlog refinement
How I workTechnical collaboration
Translate business goals into technical constraints and integration decisions.
API logic · Prototype support · Dev-team alignment
Evidence model
Selected work
Case studies
How I work
From discovery to measurable improvement
- 01
Discover
Requirements research, stakeholder interviews, process analysis, pain-point identification, and impact mapping.
- 02
Define
Clear user stories, acceptance criteria, scope boundaries, risk identification, and prioritization.
- 03
Deliver
Sprint coordination, backlog refinement, QA and UAT support, cross-team communication, and structured documentation.
- 04
Improve
Performance measurement, feedback loops, reporting dashboards, and iterative enhancements.
Toolkit
Tools & languages
Grouped by where I use them.
- Data & query
- SQLMySQLMongoDBData validation
- APIs & access
- REST APIsAPI contract analysisJSONPostmanRBAC (role-based access control)
- Front end
- JavaScriptHTMLCSSReactVueNuxt
- Back end & languages
- Java (Spring Boot).NETC#C++Android (Java/Kotlin)R
- Docs as code
- Mermaid (diagrams as code)Draw.io
- Analytics & SEO
- GA4Google AdsLooker StudioMicrosoft ClarityFirebaseMeta PixelFunnel configurationSEO strategy
- Delivery
- JiraConfluenceGitGitHubTrelloAgile / ScrumUAT coordinationProcess mapping
Contact
Get in touch
Questions about my work, a project idea or a collaboration are all welcome. Full walkthroughs of the case studies are available on request.
dinithiarunapriya.a@gmail.com