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Panita Vaishnavi Kanaguduru
Mid-level Business Analyst specializing in retention, churn, and revenue analytics
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About
Early-career data analyst with hands-on experience at SuperWorld building SQL and Python analytics pipelines for product and growth use cases. They stand out for turning messy event and transaction data into validated funnel datasets, automating reporting to cut manual effort by ~40%, and partnering with product and marketing teams on conversion and engagement metrics.
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Key Strengths
- Built SQL pipelines from messy event, user, and transaction data into reporting-ready funnel tables
- Strong data quality handling for duplicates, missing IDs, timestamp inconsistencies, and source mismatches
- Validated analytics datasets with reconciliation checks, exception queries, and sampling
- Automated reproducible Python analytics workflows using modular functions, notebooks, and version-controlled scripts
- Reduced manual reporting effort by about 40%
- Owned end-to-end funnel optimization from metric definition through stakeholder alignment and rollout measurement
- Applied cohort analysis and segmentation to identify conversion drop-offs and improve onboarding/referral flows
- Standardized KPI definitions across teams to improve trust and consistency in reporting
- Designed engagement metrics for retention/churn analysis and drove adoption through dashboards and walkthroughs
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