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Ishwari Mulay
Intern Data Scientist specializing in analytics and healthcare data
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About
Analytics candidate with AstraZeneca internship experience building scalable SQL and Python workflows on large healthcare datasets. Stands out for combining data engineering, reporting automation, and applied machine learning— including an end-to-end patient no-show prediction project that achieved 76.8% accuracy and reduced no-shows by 18%.
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Key Strengths
- Built SQL pipelines for multi-million-row healthcare datasets
- Improved data accuracy by 80%
- Reduced reporting time significantly through automation
- Reduced manual reporting by 85%
- Strong data quality and validation design
- Performance optimization for large-scale queries
- End-to-end ownership of analytics projects
- Built and applied XGBoost no-show prediction model
- Achieved 76.8% model accuracy
- Reduced patient no-shows by 18%
- Translates technical outputs into actionable stakeholder insights
- Operationalized metrics in SQL pipelines and Tableau dashboards
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