A multi-page streamlit app for geospatial
Agent-based model of the UK housing market.
Modeling Economies and Markets with NetLogo
Spatial agent-based model of the UK housing market.
Project to create an agent-based model of the Spanish housing market, derived from the INET@Oxford and BoE agent-based model of the UK housing market.
Real-time Japan rent & commute insight tool. Optimize your living circle by balancing commute times to multiple destinations with localized housing market data.
Shapley-Scarf Top Trading Cycles (TTC) algorithm for Pareto-efficient, core-stable, strategy-proof indivisible resource allocation.
A multi-page streamlit app for geospatial
Shapley-Scarf Top Trading Cycles (TTC) algorithm for Pareto-efficient, core-stable, strategy-proof indivisible resource allocation.
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!)
Forecast of housing prices index in Croatia based on World Bank datasets such as credit interest rates, gdp and consumer power.
Applied Spatially Constrained Multivariate Clustering
Clustering California Housing with K-means
Python project for analyzing housing market trends
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
Open data + interactive dashboards on Italian real estate: official OMI prices & sales volumes by zone (Agenzia delle Entrate) for 8 provinces, plus a deal-scoring tool for immobiliare.it listings. For foreign buyers investing in Italy & agents selling abroad.
Built an interactive Power BI dashboard on a 100,000-row housing dataset to analyze regional sales trends, offer vs purchase price behavior, YOY sales growth, SQM pricing, and house-type performance using DAX measures, filters, and key influencer analysis.
Melbourne housing segmentation analysis to evaluate market trends and assess property values
A data analysis project exploring Canada’s housing market using the New Housing Price Index, with insights into trends, regional variations, and price dynamics over time.
To associate your repository with the housing-market topic, visit your repo's landing page and select "manage topics."