Subhash Vagvala

Business Analyst with approximately 6 years of experience driving digital transformation across Healthcare and Financial Services. Specialized in transitioning legacy systems to modern architectures, including HL7 to FHIR API migrations and AI-driven fintech optimizations. Proven track record in requirements engineering, stakeholder orchestration, and bridging the gap between clinical and business needs and technical execution.

Skilled in SQL, Power BI, and Tableau to deliver data-driven insights while ensuring adherence to HIPAA and RBI regulatory frameworks.

Business Analyst at GE HealthCare (2025-01 – Present)

• Elicited and validated business requirements by collaborating with clinicians, product owners, and data engineers through stakeholder interviews and workshops, producing BRDs, FRDs, SRS, use cases, and Requirement Traceability Matrices (RTM).
• Conducted gap analysis and As-Is/To-Be process mapping to identify inefficiencies in legacy healthcare workflows and align future-state processes with interoperability and regulatory standards.
• Spearheaded migration from HL7 v2 to FHIR-based APIs, defining user stories, epics, and acceptance criteria to enable real-time data exchange across healthcare systems.
• Designed FHIR resource mappings (Patient, Encounter, Observation) using data mapping techniques, BPMN models, and workflow diagrams to support seamless integration between EHR, LIS, and RIS systems.
• Integrated HL7 pipelines using Mirth Connect and Apache NiFi, analyzing APIs and backend data flows to ensure reliable and scalable data exchange across platforms.
• Ensured HIPAA compliance and data governance standards by documenting business rules, audit mechanisms, and regulatory requirements while supporting secure data handling practices.
• Performed data analysis, validation, and cleansing using SQL and Excel to ensure data quality for downstream reporting and analytics.
• Developed interactive dashboards and reports using Power BI and Excel, presenting KPIs and healthcare trends to stakeholders to support strategic decision-making.
• Validated AI/ML-based patient risk models using analytical thinking and root cause analysis, ensuring alignment with defined business requirements and expected outcomes.
• Leveraged NLP-driven insights from clinical data to enhance reporting accuracy and support improved clinical decision-making processes.
• Executed System Integration Testing (SIT) and User Acceptance Testing (UAT) by creating test cases, managing defect tracking in Jira, and ensuring full requirement validation and traceability.
• Participated in Agile (Scrum) ceremonies including sprint planning, backlog grooming, and retrospectives, maintaining documentation in Confluence to support timely delivery.

Business Analyst at Capgemini (2021-09 – 2023-11)

• Led stakeholder identification, analysis, and client communication through workshops, brainstorming sessions, and conflict resolution to integrate REST APIs for a digital-first financial ecosystem.
• Boosted lead-to-disbursement conversions by 22% by redesigning the mobile app journey through job shadowing and stakeholder interviews to streamline cross-functional collaboration.
• Mapped As-Is and To-Be processes and conducted gap analysis for LOS and LMS platforms using Draw.io and Visio flowcharts, BPMN, and swimlanes to drive Business Process Re-engineering (BPR) and eliminate operational redundancies.
• Orchestrated end-to-end requirements engineering in Agile (Scrum, Kanban) environments, delivering BRDs, FRDs, SRSs, and user stories with defined acceptance criteria using Jira, Confluence, and RTM.
• Ensured regulatory compliance with RBI guidelines by performing functional and non-functional requirements identification and risk analysis to embed AML checks into system logic.
• Defined functional specifications for AI-driven predictive models using user story mapping and SDLC knowledge, managing comprehensive documentation in MS Word and Google Docs.
• Mitigated credit risk by 18% by applying requirements elicitation and MoSCoW/Kano prioritization to integrate an advanced fraud detection engine during sprint planning and backlog grooming.
• Streamlined executive MIS reporting by applying the Waterfall Model for legacy integration using ServiceNow and Azure DevOps, saving the risk team 20+ manual hours per week.
• Conducted data gathering, validation, and transformation using SQL and MS Excel (Pivot Tables, VLOOKUP) to perform statistical analysis on lending portfolio health and repayment patterns.
• Developed interactive Tableau dashboards for KPI and metrics analysis (Net NPA, ROI, IRR), delivering reporting insights and dashboard interpretation through high-impact stakeholder presentations.
• Coordinated User Acceptance Testing (UAT) and functional testing support, managing test case review, defect tracking in Jira, and requirement validation under strict deadlines.
• Reduced loan processing TAT by 35% by applying root cause analysis (RCA) and solution evaluation to optimize the credit scorecard engine.

Business Analyst at Genpact (2019-05 – 2021-08)

• Gathered and documented business requirements through stakeholder interviews, workshops, and questionnaires to ensure alignment with project goals.
• Developed As-Is and To-Be process models using process mapping and workflow diagrams to identify improvement areas in banking operations.
• Conducted in-depth data analysis using SQL and Excel, including data cleaning and validation, to derive actionable insights for data-driven decision-making.
• Collaborated with compliance teams to identify and mitigate risks in banking operations, applying change management processes and risk identification techniques.
• Participated in daily stand-ups, sprint planning, and retrospectives, applying Agile and Scrum fundamentals to ensure on-time project delivery.
• Supported User Acceptance Testing (UAT) sessions through validation and verification processes to ensure deliverables met business requirements.
• Increased customer satisfaction scores by 25% by introducing a user-friendly mobile banking interface, leveraging user stories and acceptance criteria to guide development.
• Reduced customer onboarding time by 30% through implementation of an automated KYC process.
• Prepared and delivered stakeholder presentations communicating project progress and insights using Microsoft PowerPoint.
• Maintained comprehensive documentation in Confluence through BRDs and RTMs to ensure knowledge transfer and project continuity.

Master of Business Analytics in Business Analytics – Lewis University

Bachelor of Business Administration in Business Administration – Gitam University