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Hari31416/README.md

👋Hello There!

I'm Harikesh Kushwaha, an alumnus of the Indian Institute of Technology Delhi (IITD) with a deep passion for Machine Learning (ML) and Deep Learning (DL). Currently, I am working as a Senior Analyst at Paisabazaar. My academic and professional journey has equipped me with a solid foundation in ML and DL algorithms, techniques, and frameworks. I have practical experience in developing and implementing ML models, optimizing performance, and analyzing large datasets. Additionally, I possess knowledge of finance and have worked on projects in portfolio optimization and option pricing models.

💻 Besides ML and DL, I also have a keen interest in web development. I enjoy building interactive and user-friendly web applications using HTML, CSS, JavaScript, and frameworks like React.js. This combination of skills allows me to develop end-to-end solutions leveraging ML and DL in user-facing applications. Throughout my academic and personal projects, I have worked on diverse problem domains such as image classification, sentiment analysis, and recommendation systems. Please see my skill-set below for a detailed list of my technical skills.

🌟 I believe in continuous learning and keeping up with the latest advancements in ML, DL, and web development. My goal is to leverage my skills and knowledge in ML, DL, finance, and web development to develop innovative solutions for real-world challenges. I am enthusiastic about collaborating with like-minded individuals and teams to tackle challenging problems and drive meaningful change. You can contact me via the social links provided below. I'm always open to exciting opportunities, collaborations, or engaging discussions related to ML and DL!

Skill-Set

Languages

Python JavaScript C++ Bash

Database

SQL MongoDB

Frameworks

Scikit-Learn PyTorch TensorFlow Django Docker

Other Libraries

matplotlib Pandas NumPy SciPy Selenium StreamLit

Social

LinkedIn GitHub Kaggle Tableau Coursera Goodreads

GitHub Statistics

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  1. TorchLight TorchLight Public

    A librray to visualize features learned by CNNs

    Jupyter Notebook

  2. ReVision ReVision Public

    This is a project where I'm trying to recreate some of the ground breaking papers in computor vision using Tensorflow and/or Pytorch.

    Jupyter Notebook

  3. CelestialClassify CelestialClassify Public

    Using image and spectrum data from SDSS to classify celestial objects.

    Jupyter Notebook

  4. BitwiseBrains/RagOptimize BitwiseBrains/RagOptimize Public

    Jupyter Notebook

  5. deepdream deepdream Public

    Implementing DeepDream

    Python

  6. transformer_from_scratch transformer_from_scratch Public

    Jupyter Notebook