An analytical and detail-driven data analyst with hands-on experience transforming raw data into actionable insights through interactive dashboards and data visualizations.
Designed and deployed an interactive Power BI dashboard analyzing customer churn, contract types, and monthly charges.
Identified a 27% churn rate among month-to-month customers, highlighting 7,000 high-risk users, valued at $16M in potential revenue loss.
Recommended customer retention strategies based on behavioral segmentation and tenure analysis.
Implemented data cleaning and transformation techniques, improving data quality for business reporting.
Designed and deployed an interactive Power BI dashboard analyzing customer churn, contract types, and monthly charges. Identified a 27% churn rate among month-to-month customers, highlighting 7,000 high-risk users, valued at $16M in potential revenue loss. Recommended customer retention strategies based on behavioral segmentation and tenure analysis. Implemented data cleaning and transformation techniques, improving data quality for business reporting.
Built a comprehensive app performance dashboard using Power BI, analyzing over 10,000 data points from Google Play Store datasets.
Conducted trend analysis on app reviews, installs, and rating patterns, incorporating external datasets for deeper context.
Applied predictive analytics to highlight underperforming categories and potential areas for app enhancement.
Presented findings through storytelling dashboards simulating executive-level decision-making.
Built a comprehensive app performance dashboard using Power BI, analyzing over 10,000 data points from Google Play Store datasets. Conducted trend analysis on app reviews, installs, and rating patterns, incorporating external datasets for deeper context. Applied predictive analytics to highlight underperforming categories and potential areas for app enhancement. Presented findings through storytelling dashboards simulating executive-level decision-making.
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