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1. Data Cleaning and Preparation
- Ensuring data accuracy and reliability by removing errors, inconsistencies, and duplicates.
- Structuring raw data for analysis and applying preprocessing techniques.
2. Data Visualization and Reporting
- Creating interactive dashboards and visual reports using tools like Tableau and Excel.
- Designing custom visualizations to communicate complex insights in an accessible way.
3. Exploratory Data Analysis (EDA)
- Uncovering trends, patterns, and outliers through statistical analysis and visualization.
- Providing insights that guide business decisions or inform further analysis.
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