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Data Analyst with less than a year in Data Analysis & Business Reporting
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Data Analyst and Computer Science graduate with hands-on experience in SQL, Python, Power BI, and Excel. Experienced in cleaning, transforming, and analyzing data through academic, portfolio, and real-world business projects. Strong foundation in statistics, dashboard development, and business reporting with a focus on turning data into actionable insights.
Faculty of Computer Science and Artificial Intelligence, Benha University
Bachelor's in computer science · Computer Science
August 1, 2021 – June 30, 2025
Sales Performance Dashboard
June 17, 2026 – Present
Built a Power BI sales system for 50,000+ records, using Power Query to replace manual data cleaning with a one-click refresh process. Developed interactive reports tracking revenue and KPIs, identifying high-growth customer segments for decision-makers.
View ProjectCustomer Churn & Segment Analysis
June 17, 2026 – Present
Analyzed 7,000+ telecom records using SQL (CTEs, Joins) and Python to identify a high-risk customer segment with a 73.5% churn rate. Quantified $406K in revenue risk and developed a retention strategy using Python visualizations (Seaborn) to present findings to stakeholders.
View ProjectMarketing A/B Testing Analysis
June 17, 2026 – Present
Performed Z-test analysis on 588K+ records using Python, confirming a 43.1% conversion lift with high statistical significance ($p < 0.001$). Optimized marketing ROI by identifying peak performance windows (Mondays, 1 PM – 4 PM) and providing budget reallocation recommendations.
View ProjectCultural Fit Analysis
The candidate's projects showcase a diverse application of data analysis skills across sales, customer churn, and marketing A/B testing, indicating a broad interest and adaptability. Their academic background in Computer Science and Artificial Intelligence, coupled with practical project experience, suggests a proactive and learning-oriented individual. The 'Excellent' grade in their Bachelor's degree and graduation project further reinforces a strong work ethic and commitment to quality, aligning well with a performance-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical reasoning, problem-solving, adaptability, and critical thinking skills, which are essential for a Data Analyst. Their project descriptions highlight cross-functional collaboration and the ability to translate technical findings into business recommendations. The part-time Data Assistant experience further supports their operational fit in data cleaning, validation, and reporting.