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Discovering the artistry hidden within data, one insight at a time.

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I am a data analyst with a background in operations, project management, and business strategy, bringing over a decade of experience transforming complex operational data into actionable insights.

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Healthcare patient analysis dashboard showing key performance indicators, including average readmission risk, treatment cost, recovery score, and length of stay. Charts display readmission risk by age group and department, with checkboxes for filters based on gender, region, and treatment type.

Recent Project: Healthcare Patient Analysis

A dashboard displaying three data visualizations: a bar chart of average treatment cost by region with South highest; a scatter plot showing recovery score versus length of stay with most points clustered around 8 days; and an age and department filter section with checkboxes for various categories, along with a horizontal color gradient bar representing average treatment cost from roughly $54,199 to $55,568.
A bar chart titled 'Feature Importance' displays various features with their importance values. The top feature is 'Treatment Cost' followed by 'Recovery Score' and 'Length of Stay (Days).' Other features include 'Visit Type (Routine),' 'Age Group (31-45),' 'Gender (Male),' and several regional, department, and treatment type categories. The chart visually ranks feature importance for a certain model or analysis.

This dataset contains simulated patient analytics data. It provides a comprehensive view of patient demographics, hospital visits, treatments, and outcomes, making it suitable for practicing data manipulation, visualization, and predictive modeling in the healthcare domain.

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