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Aakash Malhan
Mid-level Business Analyst and Data Science Research Assistant specializing in analytics and AI
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BI/analytics candidate with healthcare and product analytics experience spanning Honor Health and ASU. They’ve worked on messy multi-system hospital supply data and also owned analytics for an AI-powered tax assistant, with quantified outcomes including 97% faster search, 92% retrieval accuracy, 30% fewer ad hoc procurement requests, and 15% lower operational cost.
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Key Strengths
- SQL-based data unification across procurement, warehouse, and order systems for 6 hospital facilities
- Handled messy enterprise data with standardization logic for 3,095+ SKUs
- Strong data quality discipline through row-count reconciliation and source-total validation
- Query optimization on large historical datasets using staged CTEs, early filtering, and column pruning
- Built reproducible Python analytics pipeline with modular structure, version pinning, and parameterized inputs
- Owned end-to-end analytics for AI-powered tax assistant from research through rollout
- Defined and operationalized product metrics including research time reduction and retrieval accuracy
- Delivered measurable impact: 97% search time reduction, 92% retrieval accuracy, 40% usability improvement
- Designed forecasting metric adopted by operations team, reducing ad hoc procurement requests by 30%
- Drove operational cost reduction of 15% through dashboard-led process replacement
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