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MalakAlaa2004/README.md

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πŸ‘©β€πŸ’» About Me

I am a passionate AI Engineering Student at Helwan University πŸŽ“. My journey is defined by a curiosity for how machines learn and a drive to solve real-world problems through code.

  • πŸ”­ Current Focus: Deep Learning & Computer Vision (DEPI Microsoft Track)
  • πŸ’‘ Experience: Internships at GTC, Neurotrix, CIB & IEEE.
  • 🌱 Learning: TensorFlow, PyTorch, Advanced NLP.
  • [cite_start]
  • πŸ’¬ Languages: Arabic (Native), English (Fluent), French (Fluent) [cite: 36-39].

πŸ› οΈ Tech Stack


πŸš€ Professional Journey

[cite_start]
Date Role & Company Key Achievement
07/2025 - Present πŸ€– ML Engineer Trainee
DEPI Microsoft
Developing practical skills in model development, preprocessing, and evaluation.
09/2025 - 10/2025 πŸ“Š ML Engineer Intern
Genius Tech Center (GTC)
Contributed to full ML lifecycle: preprocessing, feature engineering, and training.
08/2025 - 09/2025 πŸŽ“ AI Instructor
IEEE Banha University
Designed "AI Camp 2025" curriculum and mentored participants on capstone projects.
07/2024 - 08/2024 🏦 Summer Intern
CIB Egypt
Focused on digital banking innovation and cross-functional teamwork[cite: 23].
07/2023 - 08/2023 🏦 Summer Intern
CIB Egypt
Explored AI, Cybersecurity, & Data Science; [cite_start]Won LinkedIn competition[cite: 27, 28].

πŸ’» Featured Projects

🧠 Computer Vision & Deep Learning

Project Description Tech
Car Type Classification Classification using ResNet, VGG, and MobileNet architectures. PyTorch Deep Learning
Face Recognition System Automated attendance system leveraging computer vision techniques. OpenCV FaceRec
Sentiment Analysis (RNN) Used Recurrent Neural Networks to classify text sentiments accurately. NLP TensorFlow

πŸ“Š Data Science & Predictive Analytics

Project Description Tech
Hotel Booking Pipeline Built a cleaning pipeline to predict cancellations and address revenue loss. Data Cleaning Pipeline
Titanic Survival Predictive model analyzing socio-economic factors to classify survivor probability. Classification EDA
Diabetes Prediction Comparative analysis using Logistic Regression, SVM, and Random Forest. Scikit-learn ML
Telecom Churn Predicted customer attrition using Ensemble Learning techniques. Ensemble Analytics

βš™οΈ Algorithms & Applications

Project Description Tech
Maze Solver App Implemented BFS, DFS, A*, Dijkstra, & Bellman-Ford with an interactive GUI. Algorithms GUI
Timetable Optimization Automated scheduling using Genetic Algorithms & Particle Swarm Optimization. Evolutionary AI
Expense Tracker [cite_start]Finance app with interactive charts to track spending trends over time [cite: 43-45]. Pandas Streamlit

πŸ† Click to view Certifications & Awards
  • AI & Data: Supervised Learning (DataCamp), Thinking Machines (LinkedIn).
  • Web: Frontend Dev (Meta), JavaScript (Meta).
  • Languages: DELF A1-B2 (Institut FranΓ§ais).

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  1. MalakAlaa2004 MalakAlaa2004 Public

    Config files for my GitHub profile.

    Jupyter Notebook

  2. university-time-table-optimization university-time-table-optimization Public

    This project focuses on Adaptive University Timetabling Optimization using a hybrid approach combining Genetic Algorithm (GA) and genetic algorithm variation like memetic and cultural simulated ann…

    Python 2 1

  3. expense-tracker- expense-tracker- Public

    Python

  4. maze-solver maze-solver Public

    Python

  5. Reression-project--NeuronetiX-Machine-Learning-Intern Reression-project--NeuronetiX-Machine-Learning-Intern Public

    Jupyter Notebook

  6. sentiment_analysis sentiment_analysis Public

    Jupyter Notebook