Data Science & Machine Learning student passionate about data analysis, machine learning, and solving real-world problems using data-driven approaches.
I’m a Machine Learning student at Menoufia National University with a growing focus on Data Science and Machine Learning. I’m building my technical foundation through Python, Statistics, Probability, Linear Algebra, and Calculus.
I enjoy solving programming and mathematical problems, analyzing information, and understanding how data can be used to support meaningful decisions. My approach to learning is methodical: I focus on understanding the fundamentals, applying what I learn, and continuously improving through practice.
Currently, I’m developing my skills in Data Analysis and Machine Learning while working with tools and technologies such as NumPy, Pandas, Matplotlib, Seaborn, and SQL. I’m particularly interested in understanding the complete data science process, from data exploration and visualization to building and evaluating machine learning models.
My long-term goal is to become a professional Data Scientist and eventually specialize more deeply in Machine Learning and Deep Learning.
I’m always looking to learn, solve challenging problems, build practical skills, and connect with people working in Data Science, Machine Learning, and AI.
2025
Menoufia National University
2026
DEPI
2026
Huawei

A data analysis project focused on understanding retail sales performance and discovering patterns that can support better business decisions.
I performed Data Cleaning & Preprocessing, followed by Exploratory Data Analysis (EDA) to analyze sales across products, branches, dates, and selling hours.
I also created interactive visualizations to identify top-selling products, peak sales periods, and key business insights.