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Nishant Talra
Mid-level Business Intelligence Analyst specializing in SAP and healthcare reporting
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Analytics professional with hands-on experience turning messy SAP enterprise data into trusted reporting layers and building end-to-end Python/Tableau analytics products. Stands out for combining technical rigor with business alignment—improving report accuracy by 30%, cutting refresh times by 25%, and independently delivering a CLV segmentation project across 96,000 customers that informed retention strategy.
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Key Strengths
- Built clean reporting layers from messy SAP S/4HANA and BW data
- Strong data quality and validation discipline using aggregate and source-system checks
- Improved report accuracy by 30% by identifying KPI discrepancies in transformation logic
- Improved report refresh performance by 25% through SQL optimization
- End-to-end ownership of analytics projects from problem framing to executive delivery
- Applied probabilistic CLV modeling with BG/NBD and Gamma-Gamma on 96,000 customers
- Translated modeling outputs into actionable retention segmentation and strategy
- Created reproducible Python workflows with functional notebook structure
- Built 10 Tableau dashboards for executive-facing storytelling
- Strong stakeholder collaboration and trust-building with business users
- Designed nuanced operational metrics with clear edge-case handling and documentation
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