About
Technical Business Analyst with 2.5+ years of experience across Financial Services and Healthcare domains, delivering data-driven insights and well-structured solutions to support strategic business decisions. Strong foundation in requirement gathering, process analysis, stakeholder management, and Agile delivery, with proven ability to author BRDs, FRDs, user stories, and acceptance criteria, and to drive UAT through to sign-off. Proficient in SQL, Power BI, AWS, and Databricks, with hands-on experience leveraging Generative AI and Agentic AI to support business analysis — from identifying high-value AI use cases and shaping requirements for LLM-based features, to using AI tools to accelerate documentation, analysis, and testing. Adept at partnering with data scientists, engineers, and product owners to translate complex business problems into measurable outcomes.
Skills & Expertise (63)
Work Experience
Technical Business Analyst
Blue Shield of California
Present - Present
Conducted detailed requirement gathering sessions with stakeholders across claims, provider management, and operations teams to capture functional and reporting needs. Analyzed the end-to-end claims lifecycle: Claim Intake → Adjudication → Approval / Rejection → Payment, identifying inefficiencies and rework drivers. Worked extensively with Facets for claims processing and adjudication workflows, and Availity for provider data exchange and eligibility verification. Identified bottlenecks in claims workflows — particularly manual validation steps and delays in provider approvals — and recommended process improvements that enhanced operational TAT. Authored BRDs, FRDs, user stories, and acceptance criteria; mapped detailed process flows and data flows in Confluence. Developed SQL queries to extract and analyze claims data, provider performance metrics, and patient utilization patterns; delivered weekly and monthly operational reports to business stakeholders. Built Power BI dashboards to track claims turnaround time (TAT), approval vs. rejection rates, and provider efficiency and performance metrics. Accessed cloud-hosted data on Databricks and collaborated with data engineering to ensure smooth data availability, validation, and quality for analytics and reporting. Collaborated with compliance and regulatory teams to ensure adherence to healthcare standards, HIPAA, and data privacy requirements, supporting audit readiness and approvals. Worked in a cross-functional Agile setup — sprint planning, daily stand-ups, sprint reviews — using Jira for task tracking and Confluence for documentation. Coordinated UAT with business users, facilitated sign-offs, and prepared release notes outlining features, enhancements, and defect fixes for each release.
Technical Business Analyst
IntouchCX India Pvt Ltd
Jul 2023 - Nov 2025
Partnered with Credit Risk, Underwriting, CST (Customer Service Team), Collections, and IncomeOB (Income Onboarding) teams to gather requirements across the full lending lifecycle — application, KYC, underwriting, disbursal, servicing, and collections. Conducted end-to-end requirement elicitation through stakeholder workshops, JAD sessions, and 1:1 SME interviews; documented BRDs, FRDs, functional specifications, and use cases with clear scope, assumptions, and acceptance criteria. Mapped AS-IS and TO-BE process flows for loan origination, credit approval, income verification (IncomeOB), and collections workflows; performed gap analysis and identified opportunities to reduce application drop-offs, manual rework, and SLA breaches. Worked closely with Underwriters to translate credit policy rules (income multiples, DTI thresholds, affordability checks, bureau score cut-offs) into system rules and user stories for the loan decisioning engine. Supported the IncomeOB team by defining requirements for income document upload, payslip parsing, bank statement analysis, and affordability calculation logic; coordinated with engineering on data validation and exception handling. Collaborated with the Credit Risk team on portfolio monitoring — defined KPIs and risk metrics (delinquency buckets, roll rates, vintage analysis, PD/LGD inputs, exposure at default) and translated them into Power BI dashboards and SQL data marts. Acted as the BA interface for the CST (Customer Service Team) — captured pain points on dispute handling, payment queries, and account servicing; authored requirements for CRM enhancements and improved CST agent scripts and SOPs. Created user stories with INVEST principles, acceptance criteria (Given-When-Then), and story slicing for Agile delivery; groomed the product backlog with Product Owners and engineering leads. Leveraged LLMs and prompt engineering to accelerate BA documentation — drafting user stories, acceptance criteria, BRDs/FRDs, and test cases — improving documentation quality and reducing turnaround time significantly. Analyzed and improved customer onboarding and servicing journeys — identified bottlenecks in document upload, OTP, and verification steps, leading to reduced drop-offs and faster application TAT. Managed customer-facing content via dotCMS and collaborated with UI/UX in Figma to optimize lending application screens, T&C presentation, and digital servicing journeys. Wrote and optimized SQL queries on AWS-hosted data (S3, DynamoDB) to analyze applications, approval rates, credit utilization, repayment behavior, delinquency, and CST/Collections operational metrics. Built and maintained Power BI dashboards for Credit Risk, Underwriting productivity, IncomeOB throughput, CST call/case volumes, and Collections recovery — used in daily ops reviews and leadership decks. Partnered with data science to define requirements for an AI-powered email generation engine for CST and Collections — auto-drafting payment reminders, dispute responses, and customer queries with tone and compliance guardrails. Scoped a GenAI-powered Conversational BI Assistant that converts natural-language questions into SQL and Power BI visuals — enabling Credit Risk and Collections leads to self-serve insights without analyst dependency. Contributed to an Agentic AI workflow (LangChain / CrewAI-based) for early-warning credit risk — defining business rules, agent responsibilities, and human-in-the-loop checkpoints for Underwriters and Risk analysts. Defined data quality rules, PII handling, and Responsible AI controls — bias checks, hallucination thresholds, and explainability requirements — to ensure trustworthy outputs in a regulated lending context. Partnered with data engineering to validate data from AWS S3 and DynamoDB; defined data validation and quality checks that improved reliability of reports, dashboards, and downstream AI features. Coordinated User Acceptance Testing (UAT) with Underwriters, CST, IncomeOB, and Collections SMEs — defined test scenarios and test cases, tracked defects in Jira, facilitated sign-offs, and authored release notes for each sprint. Actively participated in Agile ceremonies — sprint planning, daily stand-ups, sprint reviews, and retrospectives — using Jira for task tracking and Confluence for documentation and knowledge sharing.
Education
B.Tech - Lakkireddy Balireddy College of Engineering
2015 - 2019 · Afghanistan
Certifications
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Skills (63)
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