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ArianJr/README.md

👋 Hi, I'm Arian Jafar

Machine Learning & Deep Learning Engineer

Building intelligent AI systems with clean architecture, reproducible workflows, and scalable machine learning solutions.


   

🧠 About

I'm a Machine Learning & Deep Learning Engineer passionate about designing intelligent systems with a strong emphasis on clean architecture, modular codebases, and reproducible ML workflows.

My primary interests include Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), computer vision, predictive modeling, and building maintainable end-to-end machine learning pipelines.

  • 🧩 Self-taught ML/DL practitioner
  • ⚙️ Modular & configuration-driven development
  • 📊 Data-driven experimentation and evaluation
  • 🚀 Continuous learning and open-source development

⚙️ Tech Stack

🚀 Featured Projects

💳 Credit Card Fraud Detection

Machine learning pipeline for fraud detection using Logistic Regression, Random Forest, and XGBoost, featuring SMOTE, cross-validation, and a deployed Streamlit application.

🔗 https://github.com/ArianJr/credit-card-fraud-detection


♻️ Garbage Classification with Transfer Learning

Comparison of CNN and transfer learning architectures including ResNet50, MobileNetV2, and EfficientNetB0 for image classification.

🔗 https://github.com/ArianJr/garbage-classification-transfer-learning


🩻 Chest X-ray COVID-19 Classification

Deep learning pipeline for classifying chest X-rays into COVID-19, pneumonia, and normal categories.

🔗 https://github.com/ArianJr/chest-xray-covid19-classification


📈 Google Stock Price Forecasting

LSTM-based neural network for forecasting Google stock prices with preprocessing, training, and visualization.

🔗 https://github.com/ArianJr/google-stock-price-forecasting-lstm


🎓 Student Performance Prediction

End-to-end deep learning workflow for regression and classification on academic performance data.

🔗 https://github.com/ArianJr/student-performance-deep-learning


🫁 Lung Cancer Prediction

Machine learning classifiers for predicting lung cancer risk using structured clinical data.

🔗 https://github.com/ArianJr/lung-cancer-prediction-ml

📈 GitHub Activity



📬 Let's Connect


"Code. Learn. Iterate. Intelligence is built, one model at a time."

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  1. ArianJr.github.io ArianJr.github.io Public

    Personal portfolio showcasing AI, Machine Learning, and Deep Learning projects, skills, and experience.

    HTML

  2. credit-card-fraud-detection credit-card-fraud-detection Public

    End-to-end machine learning project for detecting fraudulent credit card transactions using Logistic Regression, Random Forest, and XGBoost. Includes EDA, SMOTE-based imbalance handling, model pipe…

    Jupyter Notebook 1

  3. garbage-classification-transfer-learning garbage-classification-transfer-learning Public

    Benchmarking CNN and transfer learning models (ResNet50, MobileNetV2, EfficientNetB0) for waste classification, with reproducible workflows, clear documentation, and insights into accuracy–efficien…

    Jupyter Notebook 1

  4. chest-xray-covid19-classification chest-xray-covid19-classification Public

    End-to-end deep learning pipeline for COVID-19 detection from chest X-ray images using a custom CNN, including preprocessing, data augmentation, training, evaluation, and visualization, designed fo…

    Jupyter Notebook

  5. google-stock-price-forecasting-lstm google-stock-price-forecasting-lstm Public

    A fully documented LSTM-based time-series forecasting project for predicting Google (GOOGL) stock prices. Includes data preprocessing, sequence generation, model training, performance evaluation (R…

    Jupyter Notebook 1

  6. student-performance-deep-learning student-performance-deep-learning Public

    End-to-end deep learning pipeline for analyzing and modeling student academic performance, featuring EDA, preprocessing, regression, classification, and evaluation using TensorFlow/Keras.

    Jupyter Notebook