Bala Tripura Sundhari Jashti
Professional Summary
Business Analyst with 4+ years of experience in healthcare and financial domains, specializing in requirements gathering, data analysis, and end-to-end SDLC delivery. Proven ability to design SQL-based data extracts, build Power BI reports and dashboards, perform UAT and API testing, and deliver compliance-aligned analytics (HIPAA, GDPR, CCPA). Experienced with Agile and Waterfall delivery, stakeholder management, and documentation including BRD, FRD, RTM, and use cases.
Technical Skills
Work Experience
- Designed and delivered Power BI dashboards and SQL-driven reports to track clinical and operational KPIs (quality, utilization, claims), enabling business and clinical stakeholders to monitor performance and trends.
- Developed complex SQL queries and data extracts to support analytics and regulatory reporting, ensuring correct joins across claims, provider, and member tables for accurate measures.
- Performed data profiling, cleansing, and validation across source systems and ETL outputs to improve data accuracy for downstream reporting and reduce data exceptions in production.
- Automated recurring reports and report subscriptions using SQL scripts and Power BI, decreasing manual report preparation and improving reporting cadence for stakeholders.
- Prepared compliance-aligned data extracts and supported audit reporting processes to meet HIPAA and regulatory requirements, collaborating with compliance and audit teams.
- Partnered with IT and data warehouse teams to troubleshoot ETL and performance issues, optimized report queries and documented report logic, data definitions, and process flows.
- Led requirements elicitation and translated stakeholder needs into BRD, FRD, use cases and process flows to scope system enhancements and integrations.
- Managed requirements traceability (RTM) to ensure alignment between business needs and technical deliverables across releases and sprint cycles.
- Facilitated UAT cycles by writing test cases, coordinating execution, tracking defects in JIRA/HP ALM, and driving stakeholder sign-off for releases.
- Created and optimized SQL queries to support reporting, data validation and root-cause analysis for product and clinical operations.
- Supported API testing and integration validation using Postman to ensure data exchange accuracy between systems and third-party services.
- Collaborated with cross-functional teams using Agile/Scrum practices to coordinate sprint planning, backlog grooming and release activities.
- Conducted stakeholder workshops and interviews to gather and document BRD, FRD, use cases and process flows for multi-workstream projects.
- Applied RTM and gap analysis to maintain alignment between requirements and system functionality, enabling traceability across sprints and releases.
- Supported UAT by designing and executing test cases, documenting defects and coordinating remediation with developers and QA teams.
- Developed SQL queries to extract and analyze data for reporting, validation and to support decision-making for business users.
- Performed impact analysis and recommended process improvements to streamline requirements delivery and reduce rework during implementation.
- Coordinated with Scrum Masters, product owners and technical teams to track progress, resolve blockers and ensure timely delivery of features.
- Gathered and documented business requirements, BRDs, use cases and functional specs through stakeholder interviews and analysis sessions for claims projects.
- Supported Guidewire Claim Center implementation activities including requirement mapping, configuration handoffs and client demonstrations.
- Assisted in creating test plans and test cases, executing test scenarios and coordinating UAT with business stakeholders to validate functionality.
- Executed SQL queries to extract and analyze data for reporting and test validation, supporting data-driven defect investigation.
- Participated in client presentations and delivered training sessions to explain system features and business workflows to stakeholders.
- Contributed to vendor evaluation and solution selection activities, documenting assessments to support process and cost optimization.
Projects
- Built machine learning models (Random Forest, Linear Regression) on 100K+ rental listings to forecast apartment rental prices across major U.S. cities.
- Performed data cleaning, feature engineering and exploratory data analysis to identify pricing drivers such as location, square footage and transit access.
- Conducted hyperparameter tuning and model selection, improving model performance (RMSE reduction) by ~18%.
- Created interactive Tableau dashboards to visualize pricing trends, model predictions and feature importance for data-driven investment decisions.
Education
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