March 7, 2024, 6:35 p.m. | Kaggle

Kaggle www.youtube.com

About this project: This project focuses on the availability of affordable housing in the United States; in particular, the affordability of already-available housing stock. My research question was: What factors affect the percentage of available homes households making median income can afford? I created a measure of listed home affordability from Zillow home sales and rental data along with median household income and other related information. From there, I tested several regression, classification and machine learning models, while including several …

affordable housing availability home homes housing income kaggle making pool presentation project question research stock united united states

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

MLOps Engineer - Hybrid Intelligence

@ Capgemini | Madrid, M, ES

Analista de Business Intelligence (Industry Insights)

@ NielsenIQ | Cotia, Brazil