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Hey, I'm Krishna Kaushik πŸ‘‹

I'm an AI enthusiast.

I graduated from Indian Institute of Technology Guwahati(IITG) in 2022. Likes to experiment a lot with AI and SDE Domain Topics by doing projects.

  • πŸ”­ I worked as a SDE intern in Publicis Sapient.
  • πŸ‘¨β€πŸ’» I am a Data Scientist at Walmart India. (I joined in July 2022).
  • πŸ‘― I’m looking to collaborate on Web development and ML/DL based Projects
  • πŸ€” I'm also very interested in AI domain especially Deep learning

πŸ“¬ Get in touch

git/krishnakaushik25 Krishna Kaushik | LinkedIn Krishna Kaushik | Facebook Krishna Kaushik | Discord Krishna Kaushik | Twitter


πŸ“ˆ My GitHub Stats

Krishna Kaushik GitHub Stats

Krishna Kaushik's Projects

learning-content icon learning-content

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

leetcode icon leetcode

πŸŽ“Leetcode solutions in Python πŸ“š

locality-sensitive-hashing icon locality-sensitive-hashing

In this deep learning project, similar images are found(lookalikes) using deep learning and locality-sensitive hashing to find customers most likely to click on an ad.

megalodon icon megalodon

Various ML/DL Resources are organized in a single place.

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-interview icon ml-interview

Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.

nlp-news-classifier icon nlp-news-classifier

Streamlit WEB app for Category classification, for news - multi-label text classification problem.

nlp-tasks-streamlit icon nlp-tasks-streamlit

Streamlit application that does Natural language processing tasks such as Text Summarization. Sentiment Analysis and Named Entity Recognition (NER)

notebooks icon notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

notes icon notes

detailed notes on computer science topics, in one page

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