Mohamed Abuelyazeed

• Analyzed paid ads, social media, and web traffic data across multiple campaigns to identify performance gaps and
support campaign optimization efforts.
• Built Power BI and Excel dashboards tracking KPIs such as conversion rate, CAC, and campaign performance -

reducing manual reporting time by ~6 hours/week.
• Cleaned, transformed, and analyzed datasets using SQL and Python to ensure data accuracy and support consistent
reporting workflows.
• Provided insights on audience behavior and channel performance to support marketing decisions on targeting and
budget allocation, improving campaign efficiency.

• Mastered the data lifecycle from foundations to data-driven decision-making, ensuring data quality and
governance throughout the analysis process.
• Utilized SQL, Python, and Power Query to extract, transform, clean, and preprocess complex datasets, ensuring
high data integrity for analytical modeling.
• Performed deep-dive analysis and trend identification using Excel to support data-driven decision-making
processes.
• Developed interactive dashboards and automated reports in Power BI and Tableau to translate technical findings
into actionable business insights.