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varshini yaganti
Mid-level Data Analyst specializing in financial and customer analytics
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Analytics professional with experience at KPMG and Robosoft Technologies, working across financial and customer engagement data. They combine SQL, Python, experimentation, and BI dashboards to turn messy multi-source data into decision-ready insights, including a pricing test that improved conversion rates by 9%.
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Key Strengths
- Built SQL pipelines to clean and prepare messy multi-source financial data for executive dashboards
- Strong data quality and validation approach using benchmark comparisons, spot checks, and validation queries
- Automated Python analytics workflows for large-scale daily customer interaction data
- Experience processing high-volume data from multiple sources
- Owned end-to-end retention analytics projects from problem framing through dashboard delivery
- Cross-functional stakeholder alignment with business, marketing, product, and pricing teams
- Applied cohort analysis, segmentation, and A/B testing to customer retention problems
- Drove measurable business impact with a pricing experiment that increased conversion by 9%
- Operationalized churn and retention definitions in Power BI dashboards with stakeholder adoption
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