Skip to content
View abdalaziz-saif's full-sized avatar

Block or report abdalaziz-saif

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
abdalaziz-saif/README.md

Hi there πŸ‘‹, I'm Abdalaziz Saifeldeen

Typing SVG

About Me:

  • πŸŽ“ I studing at Faculty of Computers & AI Cario University.
  • πŸ‘¨β€πŸ’» I love Machine Learning.
  • πŸ”­ I'm currently learning MLOps.
  • Here is MY RESUME.

Contact Me


## πŸ› οΈ My tools

πŸ‘¨β€πŸ’» Programming languages

Programming Languages

🧰 Frameworks, Technologies and libraries

Frameworks and Libraries
  NumPy Pandas Matplotlib Keras --> TensorFlow Ollama LLaMA-Factory LangChain

πŸ’» Software and tools

Software and tools

Jupyter Notebook Kaggle Colab Notebook Cursor

My Repositories

Pinned Loading

  1. end-to-end-vehicle-classifier end-to-end-vehicle-classifier Public

    End-to-end vehicle type classification pipeline using transfer learning, trained on web-scraped images (Bing/Baidu/Googel) with automated data cleaning, validation, and preprocessing.Achieves 89.7%…

    Python 5

  2. property-value-estimator property-value-estimator Public

    end-to-end machine learning pipeline for estimating property values using advanced feature engineering and a stacked ensemble of regression models. ~Achives 0.13 RMSE

    Jupyter Notebook 3

  3. end_to_end_customers_churn_prediction end_to_end_customers_churn_prediction Public

    End-to-end ML pipeline for telecom customer churn prediction β€” 6 tuned classifiers with XGBoost achieving 81% accuracy and SHAP-based model interpretability.

    Jupyter Notebook 1

  4. NeuralDispatcher NeuralDispatcher Public

    AI-Powered Request Router built with fine-tuned RoBERTa on Databricks Dolly 15K β€” served via FastAPI and containerized with Docker.

    Python 3

  5. NewsLens NewsLens Public

    Distilling structured information extraction from a large LLM into a compact, LoRA-fine-tuned Qwen2.5 model for efficient, low-cost deployment.

    Jupyter Notebook 1