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Saadi-Ai00/README.md

Hi, I'm Yousef Abdelqader

I am a Data Science and Artificial Intelligence student at Middle East University in Amman, Jordan. My main work is in machine learning and data analysis, with additional experience building web, mobile, and C++ applications.

I have worked on classification, recommendation systems, model explainability, and software projects developed as part of university courses and team projects. I am currently looking for internship and project opportunities in data science, machine learning, or software engineering.

Selected projects

Diabetes Risk Prediction

A notebook-based machine learning project using the Pima Indians Diabetes Dataset. The workflow includes data cleaning, Optuna tuning for XGBoost, stacking classification, model evaluation, and SHAP explanations.

Mood Prediction from Nutrition

A multi-class classification project that studies the relationship between nutrition data and mood categories. It includes exploratory analysis, CatBoost modeling, cross-validation, visualizations, and a LaTeX report.

Deep Company Dealership System

A C++ console application for vehicle sales and rentals. The project applies linked lists, stacks, queues, hashing, searching, and sorting in a menu-driven system.

MEU Bank ATM Console

A small C++ ATM simulation with password login, deposits, withdrawals, balance checks, and basic account handling.

Airport Management System Analysis

A system analysis and design project covering airport operations, requirements, stakeholders, and proposed processes. This repository contains the project documentation rather than an implemented application.

Technical areas

  • Machine learning and data: Python, pandas, NumPy, scikit-learn, XGBoost, CatBoost, Optuna, SHAP, FAISS
  • Software and web development: C++, PHP, JavaScript, React, React Native, HTML, CSS
  • Databases: SQL, MySQL, PostgreSQL, Oracle SQL, Supabase
  • Tools: Git, Docker, Jupyter Notebook, LaTeX

Research and competitions

  • Presented work on a stacked ensemble approach for genetic disorder classification at the IEEE-affiliated SMILEs 2026 conference.
  • Contributed to a machine learning research project on space debris classification.
  • Ranked 16th in Jordan and 387th worldwide in the IEEE Xtreme Programming Competition.
  • Placed fourth in the 2025 NSFW Hackathon.

Contact

Popular repositories Loading

  1. diabetes-prediction-xgboost diabetes-prediction-xgboost Public

    Machine learning notebook for diabetes risk prediction using the Pima Indians Diabetes Dataset, Optuna-tuned XGBoost, stacking classification, evaluation charts, and SHAP explainability.

    Jupyter Notebook

  2. mood-prediction-from-nutrition mood-prediction-from-nutrition Public

    Data science project for mood prediction from nutrition data using cleaning, exploratory analysis, CatBoost multi-class classification, cross-validation, LaTeX reporting, and visualizations.

    Jupyter Notebook

  3. meu-bank-atm-console meu-bank-atm-console Public

    Simple C++ ATM console simulation with password login, fixed sample accounts, deposits, withdrawals, balance checks, and menu-driven interaction.

    C++

  4. deep-company-dealership-system deep-company-dealership-system Public

    C++ console dealership management system demonstrating linked lists, stacks, queues, hash tables, searching, sorting, vehicle sales, rentals, and transaction handling.

    C++

  5. airport-management-system-analysis airport-management-system-analysis Public

    System analysis documentation for an Airport Management System covering passengers, flights, baggage, gates, scheduling, security, and airport operations.

  6. Saadi-Ai00 Saadi-Ai00 Public

    Data Science and AI student working on machine learning and software projects.