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.