Mennatuallah A.

1. Data Cleaning & Preparation

Proficient in handling raw data, identifying inconsistencies, and cleaning datasets for analysis.

Experience with tools like Excel, Google Sheets, and potentially SQL or Python for data preprocessing.

2. Data Exploration & Visualization

Strong ability to explore datasets, identify trends, and extract meaningful insights.

Skilled in creating clear and impactful visualizations using tools like Tableau, Power BI, or Matplotlib/Seaborn in Python.

3. Statistical Analysis & Problem-Solving

Understanding of key statistical concepts, such as correlation, regression, and hypothesis testing.

Ability to use statistical methods to support business decision-making.

4. Business Intelligence & Reporting

Capable of transforming complex data into business-friendly reports and dashboards.

Ability to communicate insights in a way that helps business professionals make informed decisions.

5. Data-Driven Decision Making

Passionate about bridging the gap between raw data and business needs.

Strong analytical mindset for interpreting data and providing actionable recommendations.