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Sai Lakshmi Charitaa Andey
Mid-level Business Data Analyst specializing in banking analytics and BI
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Analytics-focused candidate with hands-on experience building SQL reporting tables from messy transactional and master data, plus Python workflows that automate monthly analysis and data checks. They appear strongest in KPI/reporting ownership, metric standardization, and stakeholder alignment, with examples of improving reporting consistency, surfacing issues earlier, and reducing manual reconciliation effort.
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Key Strengths
- turning messy multi-source data into clean reporting tables
- SQL-based data quality remediation
- building reusable Python analytics workflows
- metric definition and source-of-truth alignment
- stakeholder alignment through metric workshops
- dashboard and KPI operationalization
- strong validation via row-count reconciliation and source checks
- improving reporting speed and reducing manual reconciliation
- consistent handling of edge cases in business metrics
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