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mauryasameer/README.md

πŸ’« About Me:

With over six years of experience, I am a seasoned Data Scientist specializing in Computer Vision, Natural Language Processing (NLP), Large Language Models, and Generative AI. My technical proficiency encompasses Python and advanced deep-learning frameworks. I have spearheaded significant computer vision and deep learning projects, particularly tailored for edge computing environments. My portfolio includes deploying various deep-learning solutions on platforms such as AWS, Heroku, and Azure. This diverse experience has provided me with a comprehensive understanding of the entire machine learning project lifecycle. Additionally, I possess expertise in Model Risk Management and Responsible AI, ensuring the development and deployment of robust, ethical AI solutions.

🌐 Socials:

LinkedIn

πŸ’» Tech Stack:

Keras NumPy scikit-learn Pandas SciPy TensorFlow Plotly PyTorch Redis MongoDB Python

πŸ“Š GitHub Stats:




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  1. ocr_tool ocr_tool Public

    This is basically the simple web implementation of the tesseract, using flask as backend.

    HTML 1 1

  2. akshaybahadur21/Facial-Recognition-using-Facenet akshaybahadur21/Facial-Recognition-using-Facenet Public

    A simple implementation of facial recognition using facenets for humans πŸ§” πŸ”

    Python 284 142

  3. image_captioning image_captioning Public

    Forked from DeepRNN/image_captioning

    Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

    Python 2

  4. Malaria_detection Malaria_detection Public

    With the help of FastAI libraries building an malaria classifier with an 97% accuracy

    Jupyter Notebook 2

  5. Style_transfer Style_transfer Public

    This is just vanilla implementation of the style transfer with the help of VGG-16

    Jupyter Notebook 1

  6. S-P500_analysis S-P500_analysis Public

    In this repository, I have basically analyzed the S&P 500 stocks data and found various meaningful insights in the data.

    Python 1