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Yeshwanth Vudugu
Mid-level Data Analyst specializing in banking and product analytics
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Analytics engineer/data analyst with Bank of America experience turning fragmented financial data across SQL Server, PostgreSQL, Kafka, and flat files into trusted Snowflake/dbt reporting models. Stands out for unifying disputed business definitions like churn and payment success rate, automating manual analysis in Python, and pairing strong data quality rigor with stakeholder adoption through self-service dashboards.
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Key Strengths
- Built cross-system customer ID mapping across SQL Server, PostgreSQL, Kafka, and flat files
- Strong dbt and Snowflake analytics engineering
- Standardized conflicting business metric definitions into single source of truth models
- Root-cause-oriented data quality troubleshooting
- Rigorous validation via side-by-side report reconciliation and automated tests
- Performance optimization for analytics queries
- Python automation that reduced manual analysis from a full day to 20 minutes
- Surfaced recurring payment failure spike that led to a system fix
- Stakeholder alignment across teams with conflicting KPI definitions
- Actionable churn analysis that identified disengagement 45 days before customer loss
- Self-service dashboard delivery in Tableau and Power BI
- Improved reporting turnaround by 40%
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