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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor
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mdhabibi/README.md

Hello World, I'm Mahdi, a data scientist and ML enginner! 👋

  • Data scientist and machine learning researcher with over 5+ years of experience.
  • Solid background in mathematics, statistics, and computational science.
  • Collaborative team player, contributing 10+ years in cross-functional teams.
  • Proven experience in designing and implementing machine learning models.
  • Lead Developer of XAI Module for TelescopeML (https://pypi.org/project/TelescopeML/)
  • Designed and developed XAI modules (LIME for time series) for ECG signals.
  • Developed XAI modules (LIME and CAM for images) for Malaria cell CNN classifier.

Connect with me:

m_habibi36 mahdi-habibi mahdihabibi @mhabibi.ds

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🏅 My Professional Badges

Languages and Tools:

aws azure bash django docker flask git html5 linux matlab mysql opencv pandas python pytorch scikit_learn seaborn sqlite tensorflow

mdhabibi

 mdhabibi

Pinned

  1. CNN-Predictor-for-Malaria_Cells-LIME-CAM CNN-Predictor-for-Malaria_Cells-LIME-CAM Public

    Enhanced CNN model for malaria cell classification, featuring Class Activation Mapping (CAM) as a non-agnstic technique for anomaly localization and LIME (Local Interpretable-agnostic Explanation) …

    Jupyter Notebook 4 1

  2. Capstone-Project-IBM Capstone-Project-IBM Public

    A data-driven project to predict the success of Falcon 9 rocket landings, crucial for cost analysis and competitive strategy in the space industry. Involves data manipulation in Pandas, JSON data p…

    Jupyter Notebook 1

  3. Automated-Cell-Semantic-Segmentation-with-UNet Automated-Cell-Semantic-Segmentation-with-UNet Public

    A machine learning solution for automating nucleus detection in biomedical images, leveraging the U-Net architecture to accelerate medical research and disease treatment discovery.

    Jupyter Notebook 1

  4. Neural-Compression-with-Autoencoders Neural-Compression-with-Autoencoders Public

    Exploring advanced autoencoder architectures for efficient data compression on EMNIST dataset, focusing on high-fidelity image reconstruction with minimal information loss. This project tests vario…

    Jupyter Notebook 1

  5. LIME-for-Time-Series LIME-for-Time-Series Public template

    LIME for TimeSeries enhances AI transparency by providing LIME-based interpretability tools for time series models. It offers insights into model predictions, fostering trust and understanding in c…

    Jupyter Notebook 1

  6. EhsanGharibNezhad/TelescopeML EhsanGharibNezhad/TelescopeML Public

    Deep Convolutional Neural Networks and Machine Learning Models for Analyzing Stellar and Exoplanetary Telescope Spectra

    Python 5 2