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raosanjana07/README.md

Building end-to-end Machine Learning applications and interactive analytics dashboards that transform data into actionable business insights.

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# About Me

I'm a B.Sc. Data Science student passionate about building end-to-end Machine Learning applications that solve real-world business problems.

I enjoy taking projects from raw datasets to deployed applications through data preprocessing, model development, visualization, and interactive dashboards.

🚀 Portfolio

Explore my interactive Machine Learning & Data Science portfolio, built as a VS Code-inspired developer workspace.

🔗 Live Portfolio:
https://sanjana-portfolio-steel.vercel.app/

💻 Best experienced on desktop/laptop.
📱 Mobile users: enable Desktop site in your browser for the full interactive experience.

What I Build

  • End-to-End Machine Learning Applications
  • Interactive Streamlit Dashboards
  • Business Intelligence Solutions
  • Predictive Analytics
  • Customer Analytics
  • Data Visualization

Featured Projects

🏠 House Price Prediction

Regression • XGBoost

Predict residential property prices using an end-to-end Machine Learning pipeline with an interactive Streamlit dashboard.

Tech

Python XGBoost Plotly Streamlit

🌐 Live Demo

https://house-price-prediction-bpwgp8gyrepgv9sqh5cappn.streamlit.app/

💻 Repository

https://github.com/raosanjana07/House-Price-Prediction

📉 Customer Churn Prediction

Classification • Random Forest

Predict telecom customer churn and generate business insights for customer retention.

Tech

Python Random Forest Plotly Streamlit

🌐 Live Demo

https://customer-churn-prediction-z8vtrr2kbxca4yfmeqihmj.streamlit.app/

💻 Repository

https://github.com/raosanjana07/Customer-Churn-Prediction

👥 Customer Segmentation

Unsupervised Learning • K-Means

Discover meaningful customer groups using K-Means clustering through an executive analytics dashboard.

Tech

Python K-Means Plotly Streamlit

🌐 Live Demo

https://customer-segmentation-t2enf56jsxpguapplse6ktz.streamlit.app/

💻 Repository

https://github.com/raosanjana07/Customer-Segmentation

Tech Stack

Languages

Python • SQL

Machine Learning

Scikit-learn • XGBoost

Data Analysis

Pandas • NumPy

Visualization

Plotly • Matplotlib

Tools

Streamlit • Git • GitHub • VS Code

Currently Learning

  • Deep Learning
  • Large Language Models (LLMs)
  • Data Engineering
  • MLOps
  • Cloud for Machine Learning

GitHub Analytics

Turning data into decisions, one project at a time.

⭐ Thanks for visiting my profile!

Pinned Loading

  1. Customer-Churn-Prediction Customer-Churn-Prediction Public

    Interactive Customer Churn Prediction Dashboard using Random Forest, Streamlit, Plotly and Scikit-learn for customer retention analytics and business intelligence.

    Python

  2. House-Price-Prediction House-Price-Prediction Public

    Interactive House Price Prediction Dashboard using XGBoost, Streamlit, Plotly and Scikit-learn for real estate price estimation and predictive analytics.

    Python

  3. Customer-Segmentation Customer-Segmentation Public

    Interactive Customer Segmentation Dashboard using K-Means Clustering, Streamlit, Plotly and Scikit-learn for business intelligence and customer analytics.

    Python