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arun-data-analyst/README.md

👋 Hi, I’m Arun Acharya (@arun-data-analyst)

🎯 I design and build practical, data-powered apps — turning raw datasets into polished tools, insights, and user-friendly interfaces.

Currently focused on:

  • No-code data cleaning platforms
  • Real estate listing generators
  • Freelancer-ready, AI-augmented web tools

🧠 What I Do

  • 🧹 Data cleaning & automation (regex, Pandas, OpenRefine)
  • 📊 Exploratory data analysis & visualization
  • ⚡ Streamlit app development — full-stack workflows
  • 🕸️ Web scraping (Selenium, BeautifulSoup)
  • 🧪 Lightweight ML integration (scikit-learn)

🚀 Featured Project

🔗 RedBrick Realty – Arsenal-themed Real Estate Listing Generator

A full-featured Streamlit app that:

  • Generates luxury-style real estate listings using GPT
  • Accepts user CSVs or runs in demo mode
  • Includes a real estate price predictor
  • Arsenal-themed and portfolio-ready

🛡️ Cleanly structured. Secure. Fun. Inspired by Arsenal FC.

🧰 Tools & Technologies

Python • Pandas • Streamlit • scikit-learn
SQL • OpenAI API • Regex • GitHub
Selenium • BeautifulSoup

💡 Currently Working On

  • 🧼 CleanEasy – a no-code, professional-grade data cleaner
  • 📦 Modular components for app reuse and freelancing
  • 🎯 Real-world ML — moving beyond toy datasets

🤝 Open to Collaborate

Looking for:

  • Freelance-friendly projects with real-world goals
  • Small business data dashboards or reporting tools
  • Startups that need custom data workflows or AI integration

📬 Reach Me: acharya.arun@outlook.com
📍 Based in Ottawa, Canada
🔴 Forever a Gunner, always building.

Pinned Loading

  1. Data-Analysis-Case-Study Data-Analysis-Case-Study Public

    Python

  2. Business-Data-Sourcing-Mini Business-Data-Sourcing-Mini Public

    Mini project to fetch, clean, and visualize weather data

    Jupyter Notebook

  3. Data-Sourcing-and-Cleaning Data-Sourcing-and-Cleaning Public

    Jupyter Notebook

  4. RedBrick-Realty RedBrick-Realty Public

    A luxury real estate listing generator powered by Streamlit and GPT

    Python

  5. retail-price-prediction retail-price-prediction Public

    Predicting retail product prices in Canada (2017–2025) using Linear and Random Forest Regression. Includes EDA, visuals, and real-world insights.

    Jupyter Notebook