Lavanya Karicheti
Professional Summary
Data Analyst with 3+ years of experience collecting, analyzing, and interpreting large datasets to deliver actionable business insights for financial services. Skilled in SQL-driven validation and reconciliation, Advanced Excel, Power BI and Tableau reporting, KPI dashboard design, and collaboration with compliance and risk teams to improve data quality and operational outcomes.
Technical Skills
Work Experience
- Designed and deployed interactive Power BI dashboards tracking delinquency, collection efficiency, and portfolio performance; dashboards informed leadership decisions and contributed to a 15% improvement in collection efficiency.
- Authored complex SQL validation and reconciliation queries across SCV and payment transaction systems to identify data availability gaps and define preferred data sourcing approaches for reporting pipelines.
- Managed merging and reconciliation of large Excel datasets (loan disbursement, repayment, portfolio records) using advanced formulas and macros to maintain data integrity across reporting systems.
- Led root cause analysis on payment processing exceptions and data defects, implemented corrective logic and process changes that reduced transaction failure rates by 12% during high-volume cycles.
- Collaborated with compliance, credit risk, and technology teams to validate datasets for KYC/AML and audit reporting; documented data lineage and controls, improving audit readiness by 20%.
- Prepared and presented executive-level reports and stakeholder briefings translating analytical findings into prioritized actions for operations and product teams, improving cross-functional decision making.
- Analyzed customer transaction and payment datasets using SQL and Tableau to identify behavioral trends and build demand forecasting dashboards for retail banking segments.
- Executed data validation and reconciliation between core banking and reporting systems for loan disbursement and repayment records, reducing data discrepancies by 15%.
- Developed Excel-based KPI and SLA tracking reports, merging large files and automating key calculations to enable performance monitoring and improve SLA adherence by 14%.
- Supported regulatory data reporting (KYC/AML) by gathering requirements, validating datasets, and defining data sourcing strategies to ensure compliance and reporting accuracy.
- Performed gap analysis and data quality checks to identify reporting inefficiencies; recommended automation and source corrections that reduced manual correction effort and improved data accuracy.
- Presented data analysis results and trend reports to management and stakeholders, translating complex datasets into concise, actionable summaries used to inform product and operations changes.
Education
Achievements
- Reduced loan approval turnaround time by 18%: Performed SQL-driven process analysis and recommended workflow improvements that shortened loan approval cycles by 18%.
- Improved data integrity across lending and payment systems: Implemented systematic SQL validation, reconciliation queries, and data quality checks to strengthen reporting accuracy.
- Decreased transaction failure rates by 12%: Conducted root cause analysis on data exceptions and implemented resolution workflows, reducing failures during operational cycles.
- Reduced audit findings by 20%: Documented data lineage, control processes, and compliance reporting datasets to improve audit readiness and reduce findings.
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