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ssr-1998/README.md

Hello Everyone...

I'am Shubham Singh Rana

Former Data Scientist at Blackcoffer.

Self-motivated to learn about new emerging topics in Data Science & work in Artificial Intelligence irrespective of having a Commerce Background.

Pursuing Courses:

  • Executive PGP from IIIT Bangalore
  • MSc in Data Science from Liverpool John Moores University (Specialization in Natural Language Processing)

Good Knowledge of Web Scraping, Python Programming, Machine Learning, various Analytical Tools & OpenCV.

Skills

  • Machine Learning
  • Data Science
  • Python
  • Web Scraping
  • OpenCV
  • MLOPs
  • PowerBI
  • Tableau
  • Neo4J
  • Kibana Dashboard
  • Indicative
  • Google Data Studio
  • BangDB

Languages and Tools:

Python

HTML5

CSS3

Pycharm

Visual Studio Code

GitHub

MongoDB

MySQL



My Resume



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  1. OllamaRAGBot OllamaRAGBot Public

    Privacy-first Local Chatbot using Llama 3.2, enhanced by RAG (Retrieval-Augmented Generation) with ChromaDB Search, lightweight Summarization, and Contextual Relevance—all open source with no paid …

    Python

  2. Identifying-Real-Disaster-Tweets Identifying-Real-Disaster-Tweets Public

    Based on Tweets provided, I build a machine learning model that predicts which Tweets are about real disasters and which one’s aren’t. As Twitter has become an important communication channel in ti…

    Jupyter Notebook

  3. Obsidian-Data_Science-Notes Obsidian-Data_Science-Notes Public

    Personal Data Science notes organised in Obsidian — including Machine Learning, Deep Learning, Natural Language Processing, Python, and Statistics.

    Python 1

  4. OpenCV OpenCV Public

    In this OpenCV Repo, I have pushed all my Jupyter Notebook files which can directly be used by anyone to learn basics & some advance stuff too in the field of OpenCV. All files are properly labelle…

    Jupyter Notebook

  5. Customer-Existence-Prediciton-In-Bank Customer-Existence-Prediciton-In-Bank Public

    This is a Classification Problem in which I classified whether a customer based on his/her Credit Score, Region, Gender, Age, Tenure, Balance, Salary etc. will keep on continuing Bank Services or Not.

    Jupyter Notebook

  6. House-Price-Prediction House-Price-Prediction Public

    Predicting Sales Price of each House in Test Dataset using various Machine Learning Algorithms like Random Forest, XGBoost, SGD Regressor, etc

    Jupyter Notebook