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natek-1/README.md

👋 Hi, I'm Nathan Gabriel Kuissi

🎓 About Me I am a third-year Data Science student at the University of Waterloo, passionate about transforming data into actionable insights. My areas of interest include machine learning, deep learning, computer vision, and natural language processing.

💻 Technical Skills

  • Programming Languages: Python, R, C++
  • Frameworks & Libraries: scikit-learn, PyTorch, TensorFlow, Pandas, Hugging Face
  • Tools: Docker, GitHub Actions, AWS (EC2, ECR, S3)
  • Practices: Continuous Integration (CI), Continuous Deployment (CD)

🔍 What I'm Looking For

  • Internship Opportunities: I'm eager to apply my skills in a practical setting and contribute to innovative projects.
  • Research Collaborations: Interested in collaborating on cutting-edge research in AI and data science.

🌱 Current Projects I'm currently working on projects involving computer vision applications and enhancing NLP models to better understand human language.

📫 Get in Touch Feel free to reach out for collaboration or if you're looking for a motivated intern or research assistant:

Thank you for visiting my profile!

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  1. Vision-Transformer-for-image-captioning Vision-Transformer-for-image-captioning Public

    A repository that uses base vision transformer and gpt-2 (both pre-trained) and create an image captioning model out of both of them using hugging face and pytorch

    Python

  2. Transformer Transformer Public

    A repo that implements the "Attention Is All You Need" paper from scratch using PyTorch

    Jupyter Notebook

  3. Image-search-engine-model-training Image-search-engine-model-training Public

    Front end application for my image search engine project. Small micro service app.

    Python

  4. Chest-CT-Scan-Classification Chest-CT-Scan-Classification Public

    Chesss Disease classification using Tensorflow, MLFLOW, Data Version Control and Jenkins

    Jupyter Notebook

  5. Stroke-Prediction Stroke-Prediction Public

    Repository for using sklearn to predict if a stroke would occur based on various features. It will also have a web app using flask and be deployed using Github Actions, Docker and AWS.

  6. Forest-Covertype Forest-Covertype Public

    Classification of pixels into 7 forest cover types based on attributes such as elevation, aspect, slope, hillshade, soil-type. Application created using Flask, Docker, MongoDB and AWS S3

    Jupyter Notebook

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