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Ayush-Patel-10/README.md

Hi there, I'm Ayush Patel πŸ‘‹

I'm passionate about Machine Learning and Data Science. With the development of technology, I believe that there is a huge potential for Artificial Intelligence in different domains. The rapid rate at which there is advancement in computing power and the freedom to take a large amount of data really pushes the field of Data Science and Machine Learning to a whole new level.

πŸ‘¨β€πŸŽ“ About Me πŸ’Ό:

I'm a Grad student at Northeastern University Khoury College of Computer Sciences pursuing MS in Data Science. Proficient in predictive modeling, data processing, and data mining algorithms, as well as scripting languages, including Python and R. Capable of creating, developing, testing, and deploying highly adaptive diverse services to translate business and functional qualifications into substantial deliverables. This portfolio is created to demonstrate a wide range of skills that I possess in solving and tackling machine learning problems. Thanks.πŸ™‚

My Skills πŸ˜€:

I learned to code from a young age. I learned "C" language and now I'm learning python which gives me an edge for understanding machine learning and data science. As a result, I was able to learn and understand the code well. Later, I also learned various other programming languages such as "R" which were important in order to become a machine learning engineer or a data scientist. Below are the list of some of my skills that I've gained throughout my experience of working with data science and machine learning. Learning these important tools and techniques helped me build machine learning projects and understand their working in full detail. Feel free to take a look.

🎬 My GitHub Summary:

Feel free to take a look at my GitHub overview. This gives a good understanding of the languages used along with the total commits. By taking a look at this summary, it is handy to get to get a brief overview of the entire portfolio. Thanks.

πŸ’Ό My Portfolio Overview:

I had an amazing experience doing machine learning and deep learning projects. Below are the links to my projects. If you want more information about the projects, feel free to scroll to the end of this website where I describe in great detail the projects and the results obtained. Below is a summary of the entire portfolio. Feel free to take a look. Thanks!

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  1. ronair212/LitArt ronair212/LitArt Public

    A Multimodal Approach to Convert Book Summaries into Artistic Book Covers

    Jupyter Notebook 2 2

  2. RAG-using-Azure-Databricks-CI-CD RAG-using-Azure-Databricks-CI-CD Public

    End-to-end deployment of a scalable RAG chatbot utilizing LangChain for retrieval-based QnA. The project leverages robust CI/CD practices integrating MLFlow with emphasizes on cost analysis.

    4 4

  3. Show-Attend-and-Tell-Neural-Image-Caption-Generation-with-Visual-Attention Show-Attend-and-Tell-Neural-Image-Caption-Generation-with-Visual-Attention Public

    Jupyter Notebook 1

  4. WikiBot-NLP-Project WikiBot-NLP-Project Public

    Unlock the depths of Wikipedia with WikiBot. It delivers concise summaries and suggests related articles to fuel your curiosity and guide your exploration.

    Jupyter Notebook

  5. My-Doc-A-Comprehensive-Hospital-Management-System My-Doc-A-Comprehensive-Hospital-Management-System Public

    Jupyter Notebook 1

  6. Flight-Landing-System-Using-SAS Flight-Landing-System-Using-SAS Public

    1