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Tarun Kethireddy
Mid-level Business Analyst specializing in analytics, e-commerce, and supply chain
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About
Marketing analytics candidate who combines strong SQL data engineering with Python automation to turn messy GA4, Instagram, and Postgres data into reliable reporting and decision tools. They’ve built cohort- and retention-based measurement frameworks that shifted teams away from vanity metrics, improved campaign allocation, and drove roughly 30% better two-week retention.
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Key Strengths
- Built clean reporting tables from messy multi-source marketing data
- Strong SQL transformation skills with nested GA4 data and complex joins
- Data quality rigor through row-count checks, aggregate reconciliation, and raw-data spot checks
- Query performance optimization that reduced runtime from 45 seconds to under 5 seconds
- Built reproducible Python analytics pipeline for campaign reporting
- Automated weekly reporting from hours to minutes
- Created stakeholder-facing analytics delivery in Streamlit
- Designed cohort-based retention and engagement metrics beyond vanity metrics
- Handled attribution and metric edge cases transparently
- Drove stakeholder adoption of new metrics through side-by-side rollout and clear communication
- Generated measurable business impact via budget reallocation and ~30% improvement in two-week retention
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