Transforming data into actionable insights
A highly motivated Data Science student with a solid foundation in data analysis, machine learning, deep learning, computer vision, and programming. I am passionate about leveraging data-driven insights to solve complex problems and deliver impactful solutions. Currently in my third year of studies, I am actively seeking opportunities to apply my strong analytical and problem-solving skills in real-world scenarios.
Riyadh University, Dar Al Uloom, Riyadh, Saudi Arabia
July 2023 – September 2023
Wintership at Orange Digital Center Egypt, Cairo
February 2025
Focused on Data Trains, Power BI, Business Intelligence, Big Data Processes, Machine Learning, and AI Insights.
Instant Software Solution, Cairo
April 2025
Academic Research
Conducted feature selection for model accuracy, combining exploratory data analysis and statistical tests. Worked with the team to document supervised, unsupervised, and embedded feature selection techniques, providing practical code for real-world applications.
Reef Oasis, Sharm El Sheikh, Egypt
Responsible for entering customer data into the system, ensuring accuracy and efficiency.
Faculty of Artificial Intelligence, Menoufia University
Expected Graduation: September 2026
Developed a comprehensive Power BI dashboard for short-term rental management, providing actionable insights on booking trends, guest demographics, revenue metrics, cancellation patterns, and property performance comparison.
Tools: Power BI, DAX, Data Analytics, Visualization
Analyzed 10 seasons of Egyptian Premier League data, exploring scoring trends, assist types, match outcomes, referee statistics, and stadium usage to provide strategic insights on the evolution of gameplay.
Tools: Python, Data Cleaning, EDA, PCA, Machine Learning
Developed an interactive Power BI dashboard to analyze Spotify's most-streamed songs, uncovering global music trends and providing insights into listener preferences and artist performance.
Tools: Power BI, Advanced DAX, DENEB, HTML & CSS
Conducted an Instagram reach analysis using Python, uncovering factors like engagement, hashtags, and content type that impact impressions. Developed a predictive model using Passive Aggressive Regressor to estimate post reach based on engagement metrics.
Tools: Python, Machine Learning, Data Analysis
Addressed missing values in Melbourne's housing dataset using imputation (mean/median, KNN), and forward/backward filling. Ensured data integrity by validating post-imputation to prevent bias and unrealistic values, improving the quality of predictive modeling.
Tools: Data Cleaning, Imputation Techniques, Validation
Analyzed 2019 sales data using Tableau, revealing top-performing cities, product lines, and customer demographics. The insights helped optimize marketing, inventory planning, and growth strategies for better customer satisfaction.
Tools: Tableau, Data Analysis
Native - Full Working Proficiency
Very Good
Data Science Student
El Sheikh Zayed City, Giza Governorate, Egypt
Joined a year ago • Last seen in the past day
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