AQ
About Me
Hello, I'm Abdallah
Driven Computer Engineering student at Helwan University maintaining an exceptional academic record (A, 86.88%). Passionate about building innovative software solutions using Java, C++, Python, HTML, CSS, JavaScript, JavaFX, and Qt Creator, with strong proficiency in tools like Git, GitLab, and VS Code. Skilled in data analysis, SQL Server, and Excel (including advanced tools and dashboards), complementing my full-stack development capabilities. Continuously expanding my expertise, including recent coursework in Supervised Machine Learning. Proven ability to develop impactful full-stack projects: designed and implemented key features for a cross-platform Smart City Platform (e-commerce, mapping, chat) and architected the multifunctional Tri-space Hub (Gaming/Study/Events). Focused on creating seamless user experiences, including implementing dark/light modes and intuitive interfaces. Committed collaborator and knowledge-sharer, demonstrated through my role as a Volunteer Mentor at HEFU-CPC, where I trained peers in algorithms/data structures and fostered teamwork. Eager to apply my technical skills, analytical mindset, and dedication to impactful software development and data-driven solutions.
Education
Computer & Systems Engineering Undergrad
Helwan University Cairo
Bachelor of Science (BSc) in Computer and Systems Engineering student at Helwan University maintaining an exceptional academic record (A, 86.88%).
Certifications
Machine Learning
DeepLearning.AI and Stanford University
This course covers a wide range of modern machine learning concepts, including supervised learning (linear regression, logistic regression, neural networks, decision trees), unsupervised learning (clustering, anomaly detection), recommender systems, and reinforcement learning.
Advanced Learning Algorithms
DeepLearning.AI and Stanford University
This course covers advanced topics in machine learning, including Build and train a neural network with TensorFlow to perform multi-class classification Apply best practices for machine learning development so that your models generalize to data and tasks in the real world Build and use decision trees and tree ensemble methods, including random forests and boosted trees
Supervised Machine Learning: Regression & Classification
DeepLearning.AI and Stanford University
This course covers the fundamentals of supervised machine learning, including Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression
Unsupervised Learning, Recommenders, Reinforcement Learning
DeepLearning.AI and Stanford University
This course covers the fundamentals of unsupervised machine learning, including Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection Build recommender systems with a collaborative filtering approach and a content-based deep learning method Build a deep reinforcement learning model
Technical Mentor For Problem Solving
CPC Community at the Faculty of Engineering, Helwan University
TTrained +26 students in algorithms and data structures for programming competitions. Mentored beginners and fostered collaborative learning environment.
My Skills
Technical Skills
Soft Skills
Projects Completed
Dashboards Created
Years Experience
Problem Solved in Codeforces
Technologies I Work With
Work Experience
.NET Trainee
Aug 2025 - PresentI am a .NET trainee at ITI. During my training, I will study databases and SQL to understand how to store and manage data. Then, I will learn C# basics like data types, loops, and how to create and use classes. After that, I will study advanced C# topics like delegates, LINQ, and how to work with Entity Framework to connect to databases. Finally, I will learn the MVC framework to build web applications, including CRUD operations, and how to handle user login and security.
Technical Mentor
Feb 2025 - May 2025I worked as a technical mentor in the CPC community, helping other programmers improve their skills in coding and problem-solving. I answered questions, reviewed their code, and explained important concepts about algorithms and data structures. I also helped organize practice sessions and gave tips to prepare for coding contests. My goal was to support and encourage members to keep learning and get better at competitive programming.
Data Analyst Trainee
Jun 2025 - PresentI am a Data Analyst trainee at DEPI, My training includes mastering Excel and its powerful tools to organize and analyze data efficiently. I will also learn SQL to work with databases, Python programming for data analysis and automation, and Power BI to create interactive data visualizations and reports. I will improve my soft skills such as communication and teamwork, and I will get guidance on freelancing to help me work independently in the future.
Get In Touch
Let's Work Together
I'm always excited to work on new projects and collaborate with amazing people. Whether you have a project in mind or just want to chat about technology, feel free to reach out!
Phone
Location
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Featured Projects
Smat City
Apr 2025 - May 2025A unified JavaFX desktop application that brings together e-commerce, geospatial services, real-time communication, and environmental insights for a smart city.
Features:
- Interactive Geospatial Mapping
- Real-Time Chat Interface with Persistence
- Customizable Dashboard with Role-Based Access
- Dark/Light Theme Mode with Sound Effects
Tri Space
Nov 2024 - Dec 2024versatile and multifunctional workspace designed to serve as a centralized hub for three main activities: Gaming, Study, and Events. The project aims to provide users with an interactive platform.
Features:
- Secure User Authentication with Validation
- Centralized Navigation Hub
- Dynamic Room Grids and Joining System
- Customizable Detailed Session Forms
Sales Data Analytics
Aug 2025a comprehensive sales dataset for a global retail operation, spanning products in categories like Audio, Cameras, Cell Phones, Computers, Games, Home Appliances, Music/Movies, and TVs.
Features:
- Data Integration and Merging
- Profit and Performance Calculations
- Interactive Dashboard Visualizations
- Currency Conversion and Global Insights