See the gaps before drawing the fix
At TVS Motor Company I mapped where the As-Is process left gaps, then defined the To-Be digital workflow designed to close them.
As-Is · gaps mapped
To-Be · digital workflow
Business AnalystBengaluru, KarnatakaAvailable to join immediately
Shruthi S V
I turn business problems into clear requirements, data into insights, and ideas into working solutions.
Understand
Every engagement starts with the question behind the request.
For 3+ years I have translated business and data requirements into functional specifications for cross-functional and technical teams, in three industries that each play by different rules.
- Industry 1 / 3
Healthcare
SolutionReach
HIPAA-governed data
- Industry 2 / 3
Retail
Third Wave Coffee
Revenue Reconciliation System
- Industry 3 / 3
Supply Chain
TVS Motor Company
From process gaps to a digital workflow
In the storyUnderstandDefineConnect
Diagnose an everyday workflow
Internally, I led the process review and root-cause analysis of the Expense Reimbursement workflow for ~250 employees, then supported it through testing and into production.
- Process review(led)
- Root-cause analysis(led)
- Testing in staging(supported)
- Production deployment(supported)
Define
Requirements a developer can build from and a stakeholder can sign.
A good BRD is the shortest path between what the business means and what the team builds. These are the documents that made that path.
SolutionReach
Specifying automation across a crowded platform landscape
I authored 12 BRD/PDDs across more than ten practice management platforms, covering three workflow families end to end.
10+Practice management platforms
- Dentrix
- Eyefinity Encompass
- Denticon
- Eaglesoft
- RevolutionEHR
- +5 others
12BRD/PDDs authored
3Workflow families
- 1Ledger Writeback
- 2Appointment Creation
- 3Patient Intake
TVS Motor Company
A lifecycle, written down before it is built
I authored the BRD/PDD for the lifecycle and then led technical clarification sessions with development teams, so questions were answered ahead of build rather than during it.
BRD/PDD
Inter-Plant Purchase Order lifecycle
1. Scope
2. Objectives
3. End-to-end process flows
Connect
The real work happens where people, data and systems meet.
Requirements only matter once they connect the people who own a process, the data that describes it and the systems that run it.
People
TVS Motor Company
Workshops that put two departments in one room
I led stakeholder workshops with 9+ participants from Dispatch and Procurement, so requirements came straight from the people closest to the work.
Technology
TVS Motor Company
Access, specified before it is built
Alongside the workflow, I evaluated API integration and role-based access control (RBAC) requirements for secure system access.
API integration
RBAC
Secure system access
Data
Third Wave Coffee
Eight sources, one reconciled view
I built cross-source reconciliation logic and data mapping, and contributed to the database design underneath it.
8 data sources intoReconciliation logic & data mapping
Database design
- Indexing
- Partitioning
- Materialized views
Systems
Internal
A pipeline that keeps HR in sync
I engineered a 4-stage attendance automation pipeline spanning 2 branches, with an API sync to the HRMS and automated absence and missed-punch reporting.
Branch 1Branch 2
1234
HRMS · API syncAbsence & missed-punch reports
Deliver
Outcomes you can measure, and keep running.
Delivery is not the go-live date. It is the faster query, the workflow that ships complete, and the support that keeps it working after launch.
60–70% less reconciliation runtime
Achieved through PostgreSQL query optimization on the Third Wave Coffee reconciliation system.
| Run | Range |
|---|---|
| Before | 15 to 30 min |
| After | 5 to 10 min |
- Improved reporting accuracy and visibility with dashboards showing line-item and commission breakdowns
- Reviewed query work for junior team members
9 of 9assigned automation workflows delivered personally
While directing a junior analyst, turning BRD/PDD requirements into working automations.
12live automation workflows, supported end to end in production
- 1 Daily log monitoring
- 2 Root-cause analysis on failures
- 3 UAT coordination with stakeholders
- 4 Fix deployed via staging to production
Internal · An idea, made into a working tool
IntelliInvoice
A rule-based invoice data-extraction tool I designed and built in Angular, with dynamic field highlighting that improves data visibility during invoice review. Demoed to company leadership.
Extracted fields
Sample data, for illustration only.
Projects
Requirements first, then the build.
Two projects of my own, where I wrote the requirements and then built what they describe.
Healthcare claims review platform
ClaimWise AI
I defined the requirements, business rules and status workflow for a healthcare claims-review application, then built it end to end on synthetic data.
- Rules before codeRequired-document and missing-field checks per claim type, allowed status transitions, and an audit history of every change.
- A person makes the callOnly a named human reviewer can approve or reject a claim.
- AI that cites, or abstainsPolicy evidence search with hybrid keyword and vector retrieval and reranking. Summaries cite their evidence, abstain when it is weak, and warn when an amendment changes a base policy.
- ASP.NET Core (.NET 10)
- EF Core
- React
- TypeScript
- SQLite / PostgreSQL
- xUnit
- Vitest
Keyword searchVector search
RerankingCited summary- Abstains when evidence is weak
- Warns on amendment conflicts
Capstone of a six-module business-analysis automation suite
Order-to-Cash Automation Pipeline
An integrated Order-to-Cash pipeline built in Python: rules process the input first, and an LLM steps in only for unstructured input.
- Python
- Google Colab Notebook
- Rule-based processing
- LLM fallback (Gemini 3.6 Flash)
Order inputRule-first processingOrder-to-Cash pipeline
only for unstructured inputLLM fallback
The path so far
Engineering foundations first, then analysis in practice, with a master’s alongside since 2024.
2019 – 2023
B.E., Computer Science Engineering
Mepco Schlenk Engineering College
Feb 2023 – Jun 2023
Software Engineer Trainee
Vyshanavi Information Technology (VIT), Bengaluru
Built the Angular front end for 4 internal R&D initiatives: logout route guards, auth-token interceptors, Angular Material UI configuration, and reusable shared components and services for alerts and notifications. Handled testing and bug fixes with a teammate for backend integration and release readiness.
Jul 2023 – Sep 2026
Software Engineer / Automation Consultant (Business Analysis & Process Automation)
Vyshanavi Information Technology (VIT), Bengaluru
2024 – Present · Expected 2027
M.Tech, Software Engineering
BITS Pilani (WILP)
Toolkit
The toolkit behind the story.
Linked skills jump to the moment in the story where they were put to work.
Business analysis
- Requirements Gathering (see it in the story)
- Requirements Elicitation (see it in the story)
- BRD Authoring (Business Requirements Document) (see it in the story)
- PDD Authoring (Process Definition Document) (see it in the story)
- Gap Analysis (see it in the story)
- As-Is/To-Be Process Mapping (see it in the story)
- Stakeholder Management (see it in the story)
- Stakeholder Workshops (see it in the story)
- UAT Coordination (User Acceptance Testing) (see it in the story)
- Root Cause Analysis (RCA) (see it in the story)
- Wireframing
- Data Mapping (see it in the story)
Technical
- SQL (see it in the story)
- PostgreSQL (see it in the story)
- REST APIs
- API Integration (see it in the story)
- Data Integration (see it in the story)
- OAuth
- Role-Based Access Control (RBAC) (see it in the story)
- Data Analysis
- Angular (see it in the story)
- React (see it in the story)
- TypeScript (see it in the story)
- C# (see it in the story)
- .NET (see it in the story)
Automation
- RPA (Robotic Process Automation)
- BPA (Business Process Automation)
- Process Automation (see it in the story)
- Workflow Automation (see it in the story)
- IntelliBuddies (Orchestration Platform)
AI & Generative AI
- Generative AI (see it in the story)
- LLM Fundamentals
- Retrieval-Augmented Generation (RAG) (see it in the story)
- AI Coding Assistants
- AI-Assisted Documentation and Testing
Methodology
Tools
- Jira
- Draw.io
- Balsamiq
- GitLab
- GitHub
- Postman
- Docker
Certifications
- Agile ExplorerIBM
- Enterprise Design Thinking PractitionerIBM
- Project Management FundamentalsIBM
- Google AnalyticsGoogle
- SQL and Relational Databases 101Cognitive Class
Have a problem worth defining?
If you are hiring a Business Analyst who can sit between the business and the build, I would like to hear about it.