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ziaee-mohammad/README.md

Mohammad Ziaee

👋 Hi, I'm Mohammad Ziaee

AI & Data Science Enthusiast | Computer Vision • NLP • Bioinformatics • Robotics

🎓 About Me

I’m a graduate student in Computer Science passionate about applying AI and Data Science to solve real-world problems. I’ve worked on various projects across computer vision, natural language processing, and bioinformatics, with additional interests in robotics and intelligent systems. 

As I build my GitHub profile, I plan to gradually share both my past and ongoing work here. I’m also eager to share my experiences and learn from others in the AI and data science community.

🎓 Education

  • M.Sc. Student in Computer Science
    University of Wisconsin–Milwaukee (UWM), USA
    Focus Areas: Artificial Intelligence and Intelligent Systems

  • B.Sc. in Computer Engineering (Artificial Intelligence)
    Mazandaran University of Science and Technology (Mazust), Iran
    Focus Areas: Artificial Intelligence and Robotics

🚀 Technical Skills & Interests

  • Programming: Python, C++, JavaScript, PHP, MATLAB
  • Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn
  • Machine Learning: Regression, SVM, Decision Trees, Random Forest (scikit-learn)
  • Deep Learning: TensorFlow, PyTorch, Keras
  • Computer Vision: OpenCV, image processing, object detection
  • Natural Language Processing (NLP): NLTK, text preprocessing, tokenization
  • Robotics: Python-based robot control, Arduino, ROS
  • Web Development: JavaScript (React.js), PHP (Laravel)

📫 Get in Touch

Pinned Loading

  1. Malonic-Acid-Detection Malonic-Acid-Detection Public

    Deep learning model for detecting Malonic Acid presence using spectroscopic and protein sequence data with CNN-based feature extraction.

    Jupyter Notebook

  2. Chest-Xray-Multilabel-Disease-Detection Chest-Xray-Multilabel-Disease-Detection Public

    Deep learning model for multi-label thoracic disease detection from chest X-ray images using ResNet-50 and Grad-CAM visualization on the NIH ChestXray14 dataset.

    HTML

  3. Customer-Churn-Prediction Customer-Churn-Prediction Public

    Deep learning project using TensorFlow and scikit-learn to predict customer churn based on behavioral and demographic data with an interactive Streamlit app.

    Python

  4. Fraudulent-Transaction-Detection Fraudulent-Transaction-Detection Public

    Detecting fraudulent transactions using the PaySim dataset with Random Forest, achieving 98% ROC-AUC on highly imbalanced data.

    Python

  5. Persian-Sentiment-Analysis Persian-Sentiment-Analysis Public

    A Flask-based web app for sentiment analysis of Persian (Farsi) reviews, trained on the SnappFood dataset, using XGBoost and Hazm.

    Jupyter Notebook

  6. Social-Media-Sentiment-Analysis Social-Media-Sentiment-Analysis Public

    NLP-based sentiment analysis of Twitter and Google Play reviews using machine learning algorithms.

    Jupyter Notebook