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Kalyani sai laxmi pallavi lakkoju
Mid-level Data Analyst specializing in BI, supply chain, and AI analytics
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Analytics-focused candidate with hands-on experience in both supply chain data and AI product analytics. They have built SQL and Python pipelines for messy ERP/inventory data as well as high-volume user event data, and have driven experimentation, retention measurement, and dashboarding for AI avatar and voice/image cloning features.
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Key Strengths
- Built SQL pipelines to turn messy ERP and inventory data into reporting-ready tables
- Strong data quality validation using source reconciliation, sanity checks, and anomaly detection
- Built modular Python analytics workflows for reproducible analysis
- Experience analyzing high-volume event data from MySQL and API logs
- Applied A/B testing and cohort analysis to evaluate feature engagement and retention
- Owned end-to-end product analytics projects from metric definition through dashboard delivery
- Operationalized engagement and retention metrics with event filtering, deduplication, and sessionization
- Aligned product and engineering stakeholders on metric definitions and reporting consistency
- Developed real-time dashboards in Tableau to support decision-making
- Helped optimize AI avatar and voice/image cloning feature performance through experimentation
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