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.
- Copenhagen
- in/mahdimhz
- https://www.mahdii.com/
Highlights
- Pro
Pinned Loading
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rul-prediction-api
rul-prediction-api PublicFastAPI + Docker REST API serving an XGBoost bearing RUL predictor part of a complete SHM pipeline
Python
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bearing-rul-prediction
bearing-rul-prediction PublicSupervised RUL prediction from raw bearing vibration FEMTO + IMS, Linear Regression / Random Forest / XGBoost / LSTM compared bearing-wise
Jupyter Notebook
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vibration-anomaly-detection
vibration-anomaly-detection PublicSemi-supervised bearing anomaly detection from raw vibration signals FEMTO + IMS datasets, Rolling RMS / Isolation Forest / One-Class SVM / LSTM Autoencoder
Jupyter Notebook
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ecg-heartbeat-classification
ecg-heartbeat-classification PublicECG 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
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surrogate-shm-api
surrogate-shm-api PublicFastAPI and Docker service that serves XGBoost surrogate predictions for cantilever beam structural responses
Python
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surrogate-shm-model
surrogate-shm-model PublicData-driven surrogate model replacing FEM cantilever beam simulation with XGBoost and MLP millisecond inference at FEM-level accuracy
Jupyter Notebook
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