mdhabibi,mhabibi,github

Hello World, I'm Mahdi, Data Scientist | MLOps | Computational Physicist (Ph.D.)! 👋

Data scientist and machine learning developer with over 10 years of experience in data science.
Expert in Python, C++, with a solid foundation in physics, mathematics, and statistics.
Expert in developing XAI modules to enhance decision-making transparency of black-box models for images and timeseries.
Developer of the Open-Source Python Package (TelescopeML).
Lead developer of XAI module for TelescopeML (PyPI).
Developer of end-to-end AI/ML/DL projects, collaborating with cross-functional teams.
Developer of a novel suppression model and particle-in-cell simulation module for emission flux.

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🏅 Professional Badges and Credentials

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Skills:

Projects

Projects	Techniques	Data Types
TelescopeML Open-Source Python Package Deep Convolutional Neural Networks and Machine Learning Models for Analyzing Stellar and Exoplanetary Telescope Spectra	Deep CNN, Machine Learning, XAI, Bayesian optimization, Feature Engineering	Timeseries, Tabular
Malaria Cell Classifier Deep Convolutional Neural Networks and Machine Learning Models for Anomaly Detection in Microscopic Malaria cells.	Deep CNN, Data Augmentation, Feature Engineering, Image Processing, Optimization	Image
BloodPy-Automated Blood Cell Classifier Multi-Classification of Peripheral Blood Cells using Deep Convolutional Neural Networks and Machine Learning Models.	Deep CNN, Data Augmentation, Transfer Learning, U-Net, Image Processing, Statistical Analysis, OpenCV, Fine-tuning	Image, Metadata
Dataset: Segmented Peripheral Blood Cells Using OpenCV A Dataset of Segmented White Blood Cell Images Using Advanced Image Processing Techniques.	GrabCut, Morphological Operations, OpenCV	Image, Binary Masks, Dataset
LIME for Macroscopic Medical Images A Surrogate Model (Local Interpretable Model-agnostic Explanations) for Enhancing Transparency of Medical Diagnostics.	Deep CNN, LIME, XAI, Computer Vision, Optimization	Image
CAM for Macroscopic Medical Images Class Activation Mapping (CAM) Technique for Anomaly Localization Interpretability.	Deep CNN, CAM, XAI, Computer Vision, Data Analysis, Optimization	Image
Automated Nucleus Detector A Semantic Segmentation Solution for Automating Nucleus Detection of Microscopic Biomedical Images.	U-Net, Keras-tunner, Semantic Segmentation	Image
FastAPI Questionnaire API A FastAPI application to manage and retrieve questionnaire data with user authentication and custom error handling.	FastAPI, Authentication, Data Management, Error Handling, Shell	API, CSV
Neural Compression Advanced Autoencoder Architecture for Efficient Data Compression Losslessly.	Autoencoder, GenAI, SSIM, PSNR	Image
LIME for ECG Classification A Surrogate Model (Local Interpretable Model-agnostic Explanations) for Enhancing Transparency of TimeSeries.	CNN, LIME, Time Series Analysis	Timeseries
Beta-Variational Autoencoders Generative Learning (GenAI) with Beta-Variational Autoencoders.	Beta-VAEs, Latent Space Analysis	Image
Falcon 9 rocket Predictor A Data-Driven Project to Predict the Success of Falcon 9 Rocket Landings.	Data Wrangling, Feature Engineering, Web-Scraping, JSON Data Processing, SQL, Hadoop, Folium, Decision Tree Classification	Unstructured Data, Tabular, Database
Variational AutoEncoders A collection of Variational AutoEncoder (VAE) architectures developed by Keras deep learning framework.	Variational AutoEncoders, Exploratory Data Analysis (EDA)	Image
Netflix Content Analysis An Exploratory Analysis of Netflix's Vast Catalog to Uncover Trends and Insights into Content Distribution, Popularity, Quality, and Key Contributors.	Exploratory Data Analysis (EDA), Data Visualization, Statistical Analysis	Metadata
Air Passenger Timeseries Analysis An Exploratory Analysis of the Air Passengers Timeseries dataset, Uncovering Trends and Patterns in Air Travel Over the Years.	Timeseries Analysis, Log Transformation, Moving Averages, Seasonal Decomposition, Seasonal Adjustment	Timeseries