Computer Science Student | Aspiring Data Analyst
I am a committed and resourceful second-year computer science student with a strong passion for programming and problem-solving. My academic journey has equipped me with solid technical skills, and I am eager to apply these in real-world applications. I thrive in collaborative environments, developing effective teamwork and communication abilities through academic projects and extracurricular activities.
Faculty of Computers and Data Science, Alexandria University
Expected Graduation: June 2027
Collaborated on the development of a user-friendly banking system equipped with an intuitive graphical interface.
Focused on delivering a seamless user experience and efficient transaction handling.
Designed and implemented a robust shopping system utilizing Object-Oriented Programming (OOP) principles, including Encapsulation, Abstraction, and Inheritance.
Ensured maintainability and scalability through clean and modular code design.
Analyzed a large-scale time-series dataset of over 700,000 records to uncover insights into the U.S. electricity grid.
Developed a Python script to ingest and paginate data from the official EIA API, handling complex time zone conversions to ensure analytical accuracy.
Performed in-depth Exploratory Data Analysis (EDA) to identify and visualize daily, seasonal, and inter-regional energy patterns for three major grid operators (CISO, ERCO, & PJM).
Delivered actionable insights by quantifying forecast accuracy (MAPE) and identifying key grid vulnerabilities, providing a data-driven basis for strategic decisions in the energy sector.
Experience in object-oriented programming and developing Java applications.
Proficiency in Python for data analysis, machine learning, and web development.
Skilled in SQL for database management and data retrieval operations.
Strong knowledge of HTML for structuring web pages and applications.
Proficient in R for statistical analysis and data visualization.
Proficient in cleaning and preparing data for analysis.
Skilled in creating visual representations of data insights.
Experience in generating actionable insights from data.
Experience with Pandas for data manipulation and analysis.
Proficiency in using NumPy for numerical computations.
Skilled in creating visualizations using Matplotlib.
Experience with Excel for data analysis and visualization.
Skilled in creating presentations to communicate data insights.
Strong attention to detail ensuring accuracy in data analysis.
Ability to deliver high-quality work under tight deadlines.
Excellent communication skills for conveying technical information.