Data analysis

1. Data Cleaning and Preparation:I ensure your data is clean, organized, and ready for analysis by removing duplicates, handling missing values, and standardizing formats.

2. Statistical Analysis:I apply advanced statistical methods to interpret your data, including descriptive analysis, hypothesis testing, and predictive modeling.

3. Visualization and Reporting:Using tools like Excel, Python, or R, I create visually engaging charts, dashboards, and detailed reports to present findings clearly.

4. Customized Solutions:Every project is unique. I tailor my approach to meet your specific goals, whether it's for business forecasting, academic research, or trend analysis.

Tools I Use:

• Excel (Advanced formulas, pivot tables, VBA)
• Python (Pandas, NumPy, Matplotlib, Seaborn)
• R (ggplot2, dplyr)
• SQL (Database queries and management)