Experience with Tableau includes using the platform to visualize complex datasets, conduct error analysis, and support strategic decision-making. Two key projects—Call Center Employee Data Analysis and Diamond Production Analysis—demonstrated proficiency in transforming raw data into actionable insights through clear, accurate visualizations and statistical evaluation.

Call Center Employee Data Analysis
 Analyzed call center performance data using Tableau dashboards to evaluate employee efficiency and operational trends, leading to improved performance metrics and cost insights.

Key Competencies:

• Data Visualization: Designed intuitive charts and dashboards to convey key findings.
• Error Analysis: Assessed data integrity and detected performance trends.
• Cost Analysis: Evaluated the financial impact of varying employee performance levels.
• Stakeholder Communication: Presented findings in a clear, concise format for business leaders.
  
  

Diamond Production Analysis
 Utilized Tableau to explore diamond production data, applying advanced statistical metrics such as APE, MAPE, and R-squared to assess model prediction accuracy and guide improvements.

Key Competencies:

• Statistical Application: Implemented error metrics to evaluate and refine predictive models.
• Data Accuracy: Identified areas for model optimization to enhance reliability of forecasts.
  
  

These projects highlight a strong foundation in data visualization, analytical thinking, and the practical use of Tableau to inform data-driven decisions across business functions.