Project Overview: This project centered on analyzing and visualizing the QS Universities Ranking for 2025. Leveraging a dataset from Kaggle, I meticulously cleaned and processed the data in Excel, and then crafted insightful visualizations using Microsoft Power BI to highlight key trends and comparisons.

Goal: With the release of the QS World Universities Report for 2025, individuals in the Middle East often face difficulty determining the best-ranked universities. This project seeks to simplify that process by offering clear, data-driven insights.

Target Audience:

◾ Students exploring their educational options

◾ Companies assessing potential employees’ credentials

◾ Alumni staying informed on the latest QS rankings

Objectives:

• To provide a clear and comprehensive analysis of the QS Universities Ranking.

• To highlight the performance of universities in Arab and Middle Eastern countries.

• To identify and showcase advancements in the rankings of Lebanese universities.

• To present the top-ranking countries globally.

Data Source:

• Dataset: QS Universities Ranking 2025 from Kaggle.

Tools and Technologies:

• Excel: Used for data cleaning and preprocessing.

• Microsoft Power BI: Utilized for data visualization and creating interactive dashboards.

Key Highlights:

• Employee Reputation in Arab Countries: Analyzed the employee reputation scores, with Qatar leading, followed by the United Arab Emirates and Lebanon.

• Average QS Score in Middle Eastern Countries: Identified the average QS scores, with Qatar, Saudi Arabia, and Lebanon ranking highest.

• Lebanese Universities Ranking: Detailed the rankings of Lebanese universities, noting significant advancements for the Lebanese University (LU) and Beirut Arab University (BAU).

• Top 5 World Countries Ranking: Highlighted the top five countries in the global QS ranking, with the United States, United Kingdom, China, Japan, and Germany at the forefront.

Project: Sales Data Analysis Dashboard

Project Overview: This project focused on analyzing sales data to uncover trends, identify top-selling products, and calculate revenue metrics to support business decision-making. I worked with a large sales dataset to extract meaningful insights.

Objectives:

• To analyze sales trends over time.

• To identify the best-selling products.

• To calculate key revenue metrics, including total sales and profit margins.

• To effectively present the findings through visualizations.

Data Source:

- Dataset: Sales Dataset part of the MeriSkill program.

Tool used:

• Microsoft Power BI

I gained hands-on experience in transforming data, adding columns with functions, building visuals with different chart types 📈, adding slicers, performing DAX calculations ➗, and much more 📊📉. 

This is the Google Capstone Project Dashboard with Bellabeat 

Bellabeat is a high-tech company that manufactures health-focused smart products. 🏃‍♀️ Our main goal was to analyze user data and provide insights to enhance the user experience of Bellabeat's smart devices. 📱

This project allowed me to apply everything I've learned gain hands-on experience working on real-world projects, pass through all processes from ASK to ACT, and gain experience using spreadsheets, SQL, Google BigQuery, R programming language, RStudio, Tableau for cleaning, manipulate, visualize the data and reporting. 📊