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Rudra-G-23/README.md

🙏 Hello / ନମସ୍କାର

I am Rudra Prasad Bhuyan from Odisha.

Aspiring Data Scientist with hands-on experience in data analysis, machine learning, and end-to-end project execution.

Connect with me, let's build https://rudra-g-23.github.io/

Python Packages

Name Repo About
show-file-tree https://github.com/Rudra-G-23/show-file-tree A small, fast CLI tool to display styled file/folder trees with rich options, colours, icons, and metadata.
find-my-joint https://github.com/Rudra-G-23/Find-My-Joint A utility to find potential join keys (matching columns) across multiple pandas DataFrames.

Pinned Loading

  1. vehicle-insurance-risk-prediction-mlops vehicle-insurance-risk-prediction-mlops Public

    An industry-style Machine Learning Operations (MLOps) project that predicts vehicle insurance risk using an automated ML pipeline.

    Jupyter Notebook

  2. SQL-Data-Warehouse-Project SQL-Data-Warehouse-Project Public

    This repo provides a step-by-step approach to building a modern data warehouse using PostgreSQL. It covers the ETL (Extract, Transform, Load) process, data modeling, exploratory data analysis (EDA)…

    PLpgSQL 10 5

  3. show-file-tree show-file-tree Public

    A small, fast CLI tool to display styled file/folder trees with rich options, colors, icons, and metadata.

    Python 2

  4. breast-cancer-prediction-app breast-cancer-prediction-app Public

    A Streamlit web application for breast cancer prediction using logistic regression. Users can input key tumor features to receive real-time prediction and confidence scores based on the Breast Canc…

    Jupyter Notebook 1 3

  5. yelp-bigdata-capstone yelp-bigdata-capstone Public

    The project demonstrates how to efficiently handle and analyze massive JSON data using the Polars library in Python — a high-performance alternative to pandas, built for speed and scalability.

    Jupyter Notebook

  6. Data-Science-Projects-Portflio Data-Science-Projects-Portflio Public

    End-to-end ML project portfolio with code, visualizations, and model deployments.

    1