Ehab
Junior Data Analyst
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Youssef E. is a dedicated Data Analyst from Alexandria, Egypt, specializing in transforming complex datasets into actionable business insights. Skilled in SQL, Python, Excel, Power BI, and Tableau, Youssef combines his technical prowess with data storytelling to communicate effectively with both technical and non-technical stakeholders. Currently pursuing a Bachelor of Science in Software Industry and Multimedia at Alexandria University, Youssef has completed a data analysis diploma with the Digital Egypt Pioneers Initiative. His hands-on experience includes building interactive dashboards, such as a sales dashboard in Excel that improved report generation by 30% and a supermarket sales analysis that boosted sales by 10%. He also developed advanced Power BI dashboards enabling faster decision-making by 20% and automated data cleaning scripts with Python that reduced errors by 25%. Youssef has demonstrated his ability to collaborate effectively, contributing to projects that improved data accuracy and provided valuable business insights.
Experience
Data Analyst Trainee
Digital Egypt Pioneers Initiative (DEPI)Completed a 6-month intensive program focusing on SQL, Excel, Python, Power BI, and Tableau. Analyzed datasets exceeding 10,000 records across various business sectors. Developed over 7 interactive dashboards for use in business and analytics. Automated three data-cleaning workflows with Python (Pandas, NumPy), significantly reducing manual effort. Collaborated on case studies that enhanced data accuracy by 15%. Produced weekly reports summarizing trends, KPIs, and business recommendations.Project Contributor
Company not specifiedConstructed a sales dashboard in Excel to evaluate regional sales performance, customer priorities, and the top-performing representatives, which streamlined reporting time by 30%. Created an Excel tracker for the Ramadan Challenge to log daily prayers and Quran readings, utilized by over 100 users and tracking 1,000 interactions. Analyzed supermarket sales data over 12 months to identify bestsellers, less popular items, and peak seasons. This analysis improved product placement, resulting in a 10% increase in monthly sales. Developed a Power BI dashboard integrating sales and customer data to enable real-time KPI tracking, accelerating decision-making by 20%. Designed automated Python scripts for data cleaning and preprocessing, minimizing errors by 25% and ensuring data sets were ready for analysis. Collaborated with analysts for presentations and dashboards; presented findings to stakeholders and received positive feedback for clarity and impact.
Skills & Expertise
Education
- Bachelor of Science in Software Industry and MultimediaAlexandria University · 2023 — 2028
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