I am a Data Analyst and AI student at Ahram Canadian University (ACU) with a strong passion for turning data into strategic insights. I am highly proficient in using SQL, Python, Excel, and Power BI to analyze complex datasets and build predictive models. With experience in numerous end-to-end projects, I excel at data cleaning, visualization, and applying machine learning algorithms to solve real-world business challenges. I am dedicated to delivering accurate, data-driven solutions that support informed decision-making.
HR Analytics & Employee Performance Dashboard
 
Item Description: Developed a comprehensive HR dashboard to monitor workforce metrics for 89 employees across 7 departments. I analyzed salary distributions by gender, tracked performance ratings over a 9-year period (2015-2023), and identified top-paid roles to help visualize the correlation between job titles and performance benchmarks.
Performed a deep-dive analysis of over 38,000 car listings to understand automotive market trends. I created visualizations to compare manual vs. automatic transmissions, mileage impact on pricing, and top car models by horsepower, demonstrating the ability to handle large-scale datasets
Built a marketing intelligence dashboard to evaluate performance across 5 social media channels (Instagram, YouTube, Facebook, TikTok, and LinkedIn) in Egypt, KSA, and UAE. I analyzed profit margins by segment and tracked conversion rates (CR) against marketing objectives.
Designed a high-impact sales dashboard tracking over $5.5M in revenue across global regions. I analyzed sales trends from 2014 to 2018, segmented by product category and customer type, using geographic mapping to visualize regional sales density.
Ahram Canadian University (ACU)
, Class of 2026
Specialized in AI algorithms, data structures, and statistical modeling.