I’m a Senior Business Information Systems (BIS) student at Helwan University – Faculty of Commerce, with a strong foundation
in data analytics, systems management, and business strategy. Skilled in Excel, SQL, and Python, I specialize in analyzing, cleaning, and visualizing data to uncover actionable insights. I’m passionate about supporting businesses with data-driven decision-making and have a growing interest in business intelligence and digital transformation.
Analyzed a Superstore Sales dataset to deliver actionable insights. Cleaned and prepared data, built pivot tables and KPIs, and designed an interactive Excel dashboard with category, region,
and date filters. Identified key sales trends, top regions, and high-profit product categories, showcasing strong skills in data analysis, visualization, and storytelling.
Analyzed the Chinook database, a sample digital music store dataset, using SQL Server Management Studio. Wrote queries to uncover total sales, monthly performance, top customers and countries, most popular genres and tracks, and best-selling artists globally and by country.
This project strengthened my SQL skills in joins, grouping, aggregation, and ordering while giving me experience working with a realistic, complex database structure.
Explored the famous Titanic dataset to uncover key survival patterns through data cleaning, statistical analysis, and visualization. Cleaned and engineered features, analyzed survival rates by gender, class, and age groups, and built visualizations to highlight disparities.
Delivered a cleaned dataset ready for modeling and gained hands-on experience in data preprocessing, exploratory analysis, and storytelling with data.