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Animesh-Chourey/README.md

Hi there 👋 My name is Animesh Devendra Chourey

AI & Software Engineering Enthusiast | Machine Learning & Deep Learning Specialist Developer | Python Developer | Innovator in Tech

A dedicated Machine Learning Engineer and Software Developer with a Master’s in Artificial Intelligence from Queen Mary University of London. My passion lies in solving complex problems using cutting-edge AI and software engineering techniques.

⚡ I have a strong background in Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing, with hands-on experience in frameworks like PyTorch, TensorFlow, and Keras. My projects, ranging from underwater image enhancement to sentiment analysis with BERT, showcase my ability to tackle real-world challenges with innovative solutions.

👯 I am always eager to learn and grow, and I thrive in environments where I can collaborate on impactful projects. Whether it’s developing predictive models for pipeline asset integrity or exploring new frontiers in AI, I am driven by a desire to make a meaningful impact.

🌐 Socials:

LinkedIn Gmail

💻 Tech Stack:

C C++ HTML5 Java JavaScript LaTeX PowerShell PHP Python Anaconda .Net Django jQuery OpenCV ROS SQLite MySQL MicrosoftSQLServer Keras Matplotlib NumPy Pandas PyTorch scikit-learn Scipy TensorFlow Git GitHub Power Bi Postman

📊 GitHub Stats:



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  1. ROS-Human-Robot-Interaction ROS-Human-Robot-Interaction Public

    A computational model simulating human-robot interaction.

    Python 1

  2. BusinessAnalysis_GenAI BusinessAnalysis_GenAI Public

    Fine Tuning GPT-3.5 and retrain new LLM to extract important information from customer complaints

    Jupyter Notebook

  3. Deeper-Networks-for-Image-Classification Deeper-Networks-for-Image-Classification Public

    Deep CNN models ResNet34 and VGG16 have been trained and tested for image classification task using MNIST and CIFAR dataset (part of mini-project from the Deep learning and computer vision module)

    Python

  4. Face-Recognition-using-Eigenfaces Face-Recognition-using-Eigenfaces Public

    Learning models of human faces for recognition

    MATLAB

  5. Fashion-MNIST-Classification Fashion-MNIST-Classification Public

    For an Image Classification task on Fashion MNIST dataset, a Convolutional Neural Network is created to learn. Different combination of activation functions, weights, optimiser, learning rate and e…

    Jupyter Notebook

  6. Image-classification-using-a-Bag-of-Words-Model Image-classification-using-a-Bag-of-Words-Model Public

    Bag-of-words model is created and classification of images using K-Nearest Neighbour (KNN) and Support Vector Machine (SVM) is performed.

    C