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abeeraz379/README.md

Hi, I am ABeer 👾❄️

ML & DL Engineer | Data Analyst | Data Scientist

A quick learner and motivated individual with a strong foundation in computer engineering and a deep passion for transforming data into actionable insights and intelligent systems.


Machine Learning & Data Science

  • Supervised learning: regression, classification
  • Unsupervised learning: clustering (KMeans), anomaly detection

Deep learning

  • ANN, CNN; model development and tuning with TensorFlow/Keras

Data Analytics

  • Data cleaning, exploratory data analysis, visualization, recommendations, and insights

technologies

  • Languages: Python, SQL
  • Data & computation: Pandas, NumPy, SQL, SQLite
  • Libraries: Pandas, NumPy, Scikit-learn , XGBoost, CatBoost, LightGBM
  • Deep learning: TensorFlow, Keras
  • Visualization: Matplotlib, Seaborn, Plotly
  • Tools: Power BI, Excel
  • Notebooks & IDEs: Jupyter, Colab, VS Code , Kaggle Notebook

Education

  • B.Sc. Computer System Engineering — Al-Azhar University | GPA: 3.7/4.0

Connect with Me

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  1. Arabic-Handwritten-Digits-Dataset Arabic-Handwritten-Digits-Dataset Public

    The MADBase is modified Arabic handwritten digits database contains 60,000 training images, and 10,000 test images. MADBase were written by 700 writers. Each writer wrote each digit (from 0 -9) ten…

    Jupyter Notebook 1

  2. Adult-income-prediction Adult-income-prediction Public

    An individual’s annual income results from various factors. Intuitively, it is influenced by the individual’s education level, age, gender, occupation, and etc.

    Jupyter Notebook 1

  3. Predicting-Irrigation-Need Predicting-Irrigation-Need Public

    A supervised machine learning project that predicts irrigation needs using multi-class classification techniques. The model is trained on a synthetic dataset (630,000 samples) generated from a deep…

    Jupyter Notebook

  4. Prediction-of-Product-sales Prediction-of-Product-sales Public

    This project analyzes the Big Mart Sales dataset through a full data science pipeline: data cleaning, exploratory data analysis (EDA), and predictive modeling. The goal is to uncover patterns in pr…

    Jupyter Notebook 1

  5. california_housing california_housing Public

    The goal of this project is to build a machine learning model using a Neural Network to predict housing prices in California based on several input features such as location, income, and housing ch…

    Jupyter Notebook

  6. Predicting-F1-Pit-Stops Predicting-F1-Pit-Stops Public

    Jupyter Notebook 1