Skip to content
View Gurpreet0022's full-sized avatar
  • India

Block or report Gurpreet0022

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Gurpreet0022/README.md

Hi, I'm Gurpreet Kaur 👋

Typing SVG

🎓 CSE Student | 🔬 Data Science & ML Enthusiast

🛠️ Tech Stack

Languages & Tools: Python, SQL, PostgreSQL
Data Science: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
Currently Learning: PyTorch, NLP, AWS, MLOps

🎯 Focus Areas

  • Machine Learning - Predictive modeling & classification
  • NLP - Text analytics & sentiment analysis
  • Data Visualization - Interactive dashboards with Streamlit

📊 GitHub Stats

🌱 Current Projects

  • Building end-to-end ML pipelines
  • Contributing to Hacktoberfest 2024 & GSSoC 2024
  • Developing data science portfolio

🤖 Hacktoberfest 2025

An image of @gurpreet0022's Holopin badges, which is a link to view their full Holopin profile

📫 Connect With Me

Pinned Loading

  1. ChurnWhisperer ChurnWhisperer Public

    ChurnWhisperer is a machine learning-powered web application that predicts customer churn based on user input. Built using Streamlit, the app integrates models like Logistic Regression, Random Fore…

    Python

  2. CarbonFootprint CarbonFootprint Public

    Machine learning based carbon footprint predictor webapp

    Jupyter Notebook

  3. ML-Sandbox ML-Sandbox Public

    Welcome to the ML - Sandbox repository! This is a collection of my machine learning practice projects where I explore, learn, and build solutions for various datasets and problems.

    Jupyter Notebook

  4. sales-dashboard sales-dashboard Public

    An interactive analytics dashboard for e-commerce sales data, built using **Streamlit**, **SQLite**, **Pandas**, and **Plotly**. It allows you to visualize key sales metrics, trends, and customer i…

    Python