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malharnd/README.md

Hi there 👋 I'm Malhar!

GIF

🎓 Currently pursuing a Master's in Data Science and Analytics at the University of Calgary. I have a background in Computer Science and Engineering, with a keen interest in AI and ML.

What drives me:

  • 🤖💬 Currently exploring Language Models (LLMs) and their boundless potential.
  • 🔍 Interested in AI and ML, practised through diverse projects and research initiatives.
  • 🔒 Working towards the ethical implications of AI.
  • 🌟 Contributing to a diverse range of projects and eager to learn.
  • 🚀 On the lookout for opportunities to expand my skills.

You will find me here:

              

If you don't I'm probably here

         

Outside of work, you'll find me

  • 🏃 Out for a run.
  • ⛰️ Exploring the mountains.
  • 📚 Lost in the pages of a good book.
  • Currently Reading: "Thinking, Fast and Slow" by Daniel Kahneman

Programming Languages

C++ Python

Machine Learning Frameworks

Keras TensorFlow PyTorch

Tools & Platforms

AWS VSCode Azure DevOps MySQL Oracle SciPy Postman scikit-learn Microsoft Office Tools

I love connecting with different people so if you want to say hi! :)

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  1. Indian-Address-Parser-and-Entity-Matching Indian-Address-Parser-and-Entity-Matching Public

    This project entails fine-tuning a DistilBERT model for customized Named Entity Recognition to parse addresses, trained on labeled dataset.

    Jupyter Notebook 1

  2. MovieHub MovieHub Public

    The MySQL HeatWave MovieHub Application project to showcase the integration between MySQL HeatWave and Oracle APEX. This integration empowers developers to build sophisticated web-based application…

    1

  3. Anomaly-Detection-OCI Anomaly-Detection-OCI Public

    This project uses Oracle Cloud Infrastructure (OCI) to deliver anomaly detection capabilities. Developed using a multivariate time-series algorithms from Oracle Labs.

  4. EncrpytAI EncrpytAI Public

    A demonstration of Paillier homomorphic encryption for secure computations

    Jupyter Notebook

  5. MovieSent MovieSent Public

    Jupyter Notebook

  6. Locality-Sensitive-Hashing-for-Text-Data Locality-Sensitive-Hashing-for-Text-Data Public

    This project uses Locality Sensitive Hashing (LSH) to find similar items in large text datasets.

    Jupyter Notebook

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