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mahdimhz/README.md
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MSc Data Science student working across machine learning, statistical modeling, and applied AI.
I build clean, reproducible projects that connect data analysis, model development, and deployment.


Light of the Seven by Ramin Djawadi


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  1. rul-prediction-api rul-prediction-api Public

    FastAPI + Docker REST API serving an XGBoost bearing RUL predictor part of a complete SHM pipeline

    Python

  2. bearing-rul-prediction bearing-rul-prediction Public

    Supervised RUL prediction from raw bearing vibration FEMTO + IMS, Linear Regression / Random Forest / XGBoost / LSTM compared bearing-wise

    Jupyter Notebook

  3. vibration-anomaly-detection vibration-anomaly-detection Public

    Semi-supervised bearing anomaly detection from raw vibration signals FEMTO + IMS datasets, Rolling RMS / Isolation Forest / One-Class SVM / LSTM Autoencoder

    Jupyter Notebook

  4. ecg-heartbeat-classification ecg-heartbeat-classification Public

    ECG heartbeat classification on the MIT‑BIH Kaggle dataset using SciPy signal features vs a 1‑D CNN, with careful imbalance handling and leakage checks. kaggle +1

    Jupyter Notebook

  5. surrogate-shm-api surrogate-shm-api Public

    FastAPI and Docker service that serves XGBoost surrogate predictions for cantilever beam structural responses

    Python

  6. surrogate-shm-model surrogate-shm-model Public

    Data-driven surrogate model replacing FEM cantilever beam simulation with XGBoost and MLP millisecond inference at FEM-level accuracy

    Jupyter Notebook