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Raoina/README.md

Hi there 👋

💻 AI/ML Trainee @ ITI | 🎓 Business Analytics Graduate | 📊 Data Analyst & ML Engineer

🧠 About Me

  • 👩‍🎓 Business Analytics graduate – Alexandria University '23
  • 🎯 Currently: AI/ML Trainee @ ITI (9-month program)
  • 🔭 Aspiring ML Engineer / Data Analyst
  • 🧩 I love solving real-world problems using data
  • 🎙️ Ex-Teaching Assistant & Product Owner

🚀 Skills & Tools

Area Technologies
Programming Python, C++, SQL
Data Pandas, NumPy, Matplotlib, Seaborn, Excel
ML/DL Scikit-learn, Keras, TensorFlow, PyTorch
BI Tools Power BI
Workflow Git, GitHub, JIRA, Agile/Scrum

📂 Projects

📊 Food Wastage Dashboard
🔗 Dataset 🧰 Tools: Power BI, Excel, Python 📌 Goal: Visualizing global food waste trends (2018–2024)
🧠 Customer Segmentation (ML)
🔗 View project on GitHub 🧰 Tools: Scikit-learn, Python 📌 Goal: Cluster credit card customers using ML
🖐️ Hand Gesture Classification (CNN)
🔗 View project on GitHub 🧰 Tools: TensorFlow, OpenCV 📌 Goal: Classify hand gestures using deep learning

📜 Certifications

  • 🧾 MongoDB Basics – MongoDB University
  • 🧾 OOP in C++
  • 🧾 Git & GitHub
  • 🧾 Statistics with Python

👩‍💼 Experience

  • 🏢 Product Owner @ Qvision
    Worked with stakeholders, managed Jira backlog, Agile environment
  • 🧑‍🏫 Teaching Assistant @ FCADS
    Assisted in lectures, prepared labs & materials for 1st-year students

📊 GitHub Stats

Top Languages

🤝 Let’s Connect

📱 Phone: 01559089797
🌍 Location: Alexandria, Egypt

"Data is the new oil – but like oil, it has to be refined."

Pinned Loading

  1. cars-sales-powerbi-dashboard cars-sales-powerbi-dashboard Public

    Interactive Power BI dashboard for analyzing 2022–2023 car sales trends, with key metrics, monthly trends, regional breakdowns, and outlier detection.

  2. EDA_Upwork_Jobs EDA_Upwork_Jobs Public

    Forked from Hend-Khaled-Aly/DEP-Project

    Scrapping Website, Preprocessing the scrapped data, Getting useful insights from this data

    Jupyter Notebook

  3. UAE-Rent-Prediction-Plotly UAE-Rent-Prediction-Plotly Public

    Jupyter Notebook

  4. Spectra-2-Image Spectra-2-Image Public

    Exploring Computer Vision Techniques for FT-NIR Spectroscopy — treating spectra as images using Deep Learning (CNNs) to compare with traditional spectral analysis methods.

    Jupyter Notebook 1