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housing-market

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This repository contains a Python implementation of the Top Trading Cycle Algorithm, a mechanism for solving the problem of allocating indivisible items or resources among agents with preferences. The algorithm is widely used in the field of matching theory, particularly in the context of school choice and house allocation problems.

  • Updated Sep 20, 2023
  • Python

This is a large dataset of nearly 7 million rows! Is the Housing Market crashing? Housing market data is most useful at the zip code level. The housing market data will include features such as sale price, homes sold, new listings, days on market, and price drops. This project includes a Tableau Dashboard (link is attached to the readme!)

  • Updated Nov 30, 2022
  • Jupyter Notebook

End-to-end rental market analysis powered by SQL and Python. SQL handles database creation, feature engineering, and aggregation, while Python enables clustering and visualization. Together they deliver actionable insights into how construction age and location shape rent prices

  • Updated Aug 20, 2025
  • Jupyter Notebook

A data analytics project for exploring housing prices in King County, WA. Compare city and countryside properties with an interactive app and gain detailed insights into real estate market trends.

  • Updated Oct 7, 2024
  • Jupyter Notebook

Collection of interactive Tableau dashboards showcasing data visualization expertise across entertainment, real estate, and aviation industries. Features Netflix content analysis, housing market trends, and British Airways customer satisfaction metrics with advanced filtering and drill-down capabilities.

  • Updated Feb 1, 2025

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