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Nishant2018/README.md

Hi ๐Ÿ‘‹, I'm Nishant Raghuwanshi


๐Ÿง‘โ€๐Ÿš€ About Me

I am a passionate Data Scientist and Machine Learning Engineer
who loves building intelligent systems using data, algorithms, and creativity.

  • ๐Ÿ”ญ Working on Data Science, NLP & Deep Learning
  • ๐ŸŒฑ Learning Transformers, LLMs & Generative AI
  • ๐Ÿค Open to AI / ML / NLP collaborations
  • ๐Ÿ’ฌ Ask me about Python, ML, NLP, Data Analysis
  • ๐Ÿ“ซ nishantraghuwanshi2018@gmail.com
  • โšก Fun: Hiking ๐Ÿ”๏ธ | Exploring cuisines ๐Ÿœ

๐Ÿ† Achievements


๐Ÿ› ๏ธ Skills & Technologies

๐Ÿ’ป Programming Languages ๐Ÿค– Machine Learning & AI ๐Ÿ“Š Data Science Stack โš™๏ธ Tools & Platforms

Python

C++

C

TensorFlow

PyTorch

Keras

OpenCV

NumPy

Pandas

Scikit-learn

Matplotlib

Seaborn

NLTK

SpaCy

Hugging Face

Git

GitHub

VS Code

Jupyter

Linux

๐Ÿš€ Featured Projects

๐Ÿค– Masked Language Model โ€“ BERT

Public

This project demonstrates the use of a BERT-based Masked Language Model (MLM) to predict masked tokens in text.
It focuses on understanding contextual word representations using transformer architectures.

Tech Stack: BERT ยท Transformers ยท NLP

NLP BERT Jupyter

๐Ÿ’ฌ Sentiment Analysis using LLM (BERT)

Public

An end-to-end sentiment analysis system that classifies text into positive, negative, or neutral sentiments.
Built using BERT-based language models to capture semantic meaning and contextual polarity.

Tech Stack: BERT ยท NLP ยท Deep Learning

Sentiment NLP Jupyter

๐Ÿง  NLP Tools โ€“ Flask Application

Public

A Flask-based web application that provides an interactive interface for multiple NLP tasks.
Powered by Hugging Face Transformers, enabling text classification, tokenization, and language understanding.

Tech Stack: Python ยท Flask ยท Transformers

Flask Python NLP

โœ๏ธ Text Generation using GPT-2

Public

An implementation of GPT-2 for automated text generation using the Transformer architecture.
The project explores sequence modeling, contextual generation, and creative text synthesis.

Tech Stack: GPT-2 ยท Transformers ยท Deep Learning

GPT Text NLP

๐Ÿ“Œ These repositories are pinned to highlight hands-on work in NLP & Transformer-based models


๐Ÿ“ˆ GitHub Analytics


๐ŸŒ Connect With Me

ย ย  ย ย  ย ย 


๐Ÿ Contribution Snake


๐ŸŽฏ Hobbies & Interests

๐Ÿ”๏ธ Hiking & Nature Walks ย ย |ย ย  ๐Ÿœ Cooking & Exploring Cuisines ย ย |ย ย  ๐ŸŽฎ Gaming & Tech Experiments ย ย |ย ย  ๐Ÿ“š Reading ML & AI Blogs ย ย |ย ย  ๐ŸŽต Music & Podcasts

"Without data, you're just another person with an opinion."
โ€” W. Edwards Deming

Pinned Loading

  1. Masked-Language-Model-BERT Masked-Language-Model-BERT Public

    ๐Ÿค– This project demonstrates the use of a Masked Language Model (MLM) with BERT for predicting masked tokens in a given text. The model is trained to understand the context of words based on their sโ€ฆ

    Jupyter Notebook 2

  2. Sentiment-Analysis-LLM-BERT Sentiment-Analysis-LLM-BERT Public

    Sentiment analysis, also known as opinion mining, is a process that involves analyzing text to determine the sentiment expressed, such as positive, negative, or neutral.

    Jupyter Notebook 3

  3. NLP-Tools NLP-Tools Public

    ## NLP Tools Flask Application This Flask application serves as a web interface for various Natural Language Processing (NLP) tasks using Hugging Face's Transformers library. The application allowsโ€ฆ

    Python 3

  4. TextGeneration-GPT-2 TextGeneration-GPT-2 Public

    GPT-2 is an advanced language model developed by OpenAI, serving as a predecessor to GPT-3. It is based on the Transformer architecture, specifically designed for natural language processing tasks.

    HTML 4

  5. Cat_Vs_Dog_CNN Cat_Vs_Dog_CNN Public

    the development of a Cat vs Dog prediction model using Convolutional Neural Networks (CNNs)! ๐Ÿ“Š๐Ÿค– ๐Ÿˆ๐Ÿ†š๐Ÿ• Ever wondered if you could tell a cat from a dog just by looking at a picture? With the power ofโ€ฆ

    Jupyter Notebook 3 1

  6. Book_Recommendation Book_Recommendation Public

    This project deploys a book recommendation system using Flask API, requiring Flask, pandas, scikit-learn, numpy, and joblib. It consists of a Jupyter Notebook for model building, an app.py file forโ€ฆ

    Jupyter Notebook 5 1