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Firoz Shaik
Mid-level Data Analyst specializing in business intelligence and customer analytics
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Healthcare-focused data analyst with hands-on experience at Molina Healthcare building SQL and Python workflows for retention and churn analytics. They combined enrollment, CRM, and claims data into Power BI reporting, automated predictive churn analysis, and tied their work to measurable outcomes including faster processing, better reporting accuracy, and reduced churn.
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Key Strengths
- Built SQL pipelines to unify enrollment, CRM, and claims data for reporting
- Improved data processing time by 30%
- Improved reporting accuracy by 20%
- Automated reproducible Python workflow for churn and retention analysis
- Reduced manual reporting time by 35%
- Improved forecasting accuracy by 20%
- Owned end-to-end retention analytics from metric definition through dashboard delivery
- Defined and operationalized churn metric with 90-day inactivity rule
- Handled edge cases such as temporary suspensions and data gaps
- Drove stakeholder adoption through training sessions and shared documentation
- Delivered measurable business impact with 10% churn reduction
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