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LiganiumInc/README.md

[MasterHead]

Hi 👋, I'm Bernardin LIGAN

I am a data scientist driven by a commitment to creating value. My passion lies in leveraging data and artificial intelligence to address challenges associated with sustainable development. Currently, I am in the pre-doctoral phase at UM6P Vanguard Center, where my focus involves the application of deep learning techniques to analyze hyperspectral satellite images

Interests :

  • Computer Vision

  • Satellite imagery

  • MLOps

  • Time Series

  • AI for SDGs

🤝 Connect with me:

bernardinligan bernardin-ligan bernardin ligan

Technical Skills:

Data Science/AI : Python, Scikit-learn, Tensorflow, Pytorch, Openvino Toolkit, Pandas

Cloud : Azure, Azure Machine Learning, Google Cloud (rudiments)

Devops : CI/CD, Docker, Git, Github, Github Actions

Back End : Django, Django Rest Framework, FastApi

GIS : Postgis, Geopandas, xarray, Leafmap, QGIS

liganiuminc

 liganiuminc

Pinned Loading

  1. Fast-Assurance Fast-Assurance Public

    A Car Damage Assessment Web APP based on Artificial Intelligence. Tools used are Tensorflow, Django, Openvino, Vuejs, Axios, html2pdf.js

    Jupyter Notebook 1

  2. Satellite-Semantic-Segmentation Satellite-Semantic-Segmentation Public

    A Satellite Semantic Segmentation Project using Unet and Attention Unet with Pytorch,

    Jupyter Notebook 1

  3. Customer-Market-Segmentation-using-Unsupervised-Learning Customer-Market-Segmentation-using-Unsupervised-Learning Public

    Jupyter Notebook

  4. Mossaida Mossaida Public

    Mossaida is an APP powered by NLP to help people with reduced mobility in Human-Machine interactions

    Jupyter Notebook 1 1

  5. Object-Detection-with-YOLOV4 Object-Detection-with-YOLOV4 Public

    Object Detection with YOLOV4

    Jupyter Notebook

  6. introduction-to-spatial-data-science introduction-to-spatial-data-science Public

    This book is written for my first spatial data science course in the framework of the 2024 Data Science Specialization organized by Africitizen

    TeX