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.

A multi-page streamlit app for geospatial

Real-time Japan rent & commute insight tool. Optimize your living circle by balancing commute times to multiple destinations with localized housing market data.

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.

Clustering California Housing with K-means

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

Python project for analyzing housing market trends

Håll din bostadskö förnyad automatiskt!

Applied Spatially Constrained Multivariate Clustering

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.

Melbourne housing segmentation analysis to evaluate market trends and assess property values

Bayesian Market Segmentation Algorithm for Hedonic Analysis

Predicting Housing Market Conditions using PySpark and Machine Learning

In this project I analyze the main indicators of Airbnb in Madrid. Among others, I analyze the number of total accommodations, the number of owners, the typology of accommodations, the average price per district and the concentration of properties.

This repository contains a project developed for DATA 78000 (Advanced Interactive Data Visualization Studio) at the CUNY Graduate Center, taught by Professor Aucher Serr.

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.

Melbourne Housing Market Analysis

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.

Vector Autoregressive Model with 20 variables - Australian Housing Data.

Agent-based model of the UK housing market updated for Bank of England to 2026 data.

Florida county-level analysis of housing growth, migration, market segmentation, and post-boom cooling (2020–2024).

Codebase for Repeated Sales Algorithm for Germany

Scripts for Bay Area Regional Housing Needs Assessment

End-to-end ML project predicting house prices using Python, scikit-learn, and Flask

homefinder real estate listings

Hemnet Swedish real estate