Lavanya Karicheti
Professional Summary
Data Analyst with 3 years of experience transforming large financial-services datasets into actionable insights through SQL querying, Advanced Excel, and interactive BI dashboards built in Tableau and Power BI. Adept at data validation, reconciliation, forecasting, and KPI reporting that improve portfolio performance, compliance readiness, and executive decision-making.
Technical Skills
Work Experience
- Queried Single Customer View and transaction tables using SQL to verify data integrity across lending and payment systems, raising data accuracy to 99.2%.
- Consolidated and reconciled multi-source Excel files covering loan disbursement, repayment, and portfolio performance, eliminating prior discrepancies and preventing data corruption.
- Designed interactive Tableau and Power BI dashboards tracking delinquency, collection efficiency, and portfolio health, enabling executives to reduce delinquency by 15%.
- Authored SQL validation scripts that uncovered data-availability gaps and informed preferred sourcing strategies, cutting report preparation time by 20%.
- Performed root-cause analysis on payment-processing exceptions, lowering transaction failure rates by 12% during peak operational cycles.
- Documented end-to-end data lineage for KYC and AML reporting, collaboration with compliance and risk teams improved audit readiness scores by 20%.
- Analyzed millions of retail-banking transactions using SQL and Tableau to surface behavioral trends and forecast product demand, informing targeted marketing strategies.
- Executed data validation and reconciliation between core banking and reporting platforms, reducing loan-record discrepancies by 15%.
- Built Excel-based KPI and SLA monitoring reports that improved service-level adherence by 14% through real-time performance visibility.
- Gathered requirements and validated datasets for KYC and AML regulatory submissions, ensuring on-time compliance with RBI guidelines.
- Led gap analysis of existing reporting workflows, recommending process changes that cut manual data correction effort by 25%.
- Presented trend analyses and actionable insights to senior stakeholders, translating complex findings into clear business recommendations.
Education
Achievements
- Reduced Loan Approval Turnaround Time by 18 %: Streamlined approval workflow through SQL-driven process analysis and data-backed recommendations.
- Improved Data Integrity Across Lending and Payment Systems: Implemented systematic SQL validation and reconciliation routines that elevated overall data quality.
- Decreased Transaction Failure Rates by 12 %: Conducted detailed root-cause analysis of data exceptions and optimized defect-resolution workflows.
- Reduced Audit Findings by 20 %: Fully documented data lineage, controls, and compliance datasets, strengthening regulatory audit readiness.
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