
Detail-oriented Data Analyst skilled in Python, SQL, and Power BI. I help businesses transform complex data into clear, interactive dashboards and actionable strategic insights.
"I am a detail-oriented Data Analyst skilled in Python, SQL, Power BI, and Excel. I specialize in turning complex datasets into clear, interactive dashboards and actionable business insights. Passionate about problem-solving, data cleaning, and exploratory data analysis (EDA) to help stakeholders make data-driven decisions
may 2026 - dec2026
eyouth
Participated in intensive training covering SQL, Python, Power BI, and Tableau.
Worked on real-world data analysis projects, applying EDA techniques and business intelligence concepts.
Gained hands-on experience in data cleaning, transformation, and interactive dashboard creation.
2024 - 2028
menofia university

Developed a comprehensive, interactive Tableau dashboard to analyze retail sales performance across US regions, customer segments (Consumer, Corporate, Home Office), and sub-categories from 2014 to 2018. Integrated geospatial mapping to highlight top-performing revenue states like California, alongside time-series trend line analysis to uncover seasonal purchasing patterns. Provided data-driven business insights on product profitability, order distribution, and shipping modes to support inventory optimization and strategic marketing decisions.

Performed exploratory data analysis (EDA) using Python to identify key drivers behind customer churn. Cleaned and structured raw transactional and customer profile data using Pandas and NumPy, then visualized churn distribution across demographics and contract types with Seaborn and Matplotlib. Delivered actionable strategic recommendations to improve retention rates and customer lifetime value.