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Ashrita Mishra
Mid-level Data Analyst specializing in analytics, ETL, and cloud data platforms
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Data analyst with 4 years of experience spanning banking and retail/marketing analytics. Has hands-on experience building churn analytics pipelines in SQL and Python, optimizing large-query performance, and turning stakeholder-aligned metrics into recurring dashboards and business actions.
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Key Strengths
- Built SQL pipelines to turn messy customer, transaction, subscription, billing, and activity data into analysis-ready churn tables
- Strong SQL performance optimization using EXPLAIN ANALYZE, indexing, datatype alignment, summary tables, and window functions
- Created reusable Python analytics workflow with SQLAlchemy, pandas, and NumPy for weekly and monthly churn reporting
- Defined and operationalized churn as a shared KPI with stakeholder-aligned business rules and dashboard integration
- End-to-end ownership of marketing analytics from KPI definition through cohort analysis and channel budget recommendations
- Experience translating analytics into business actions for retention and campaign optimization
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