Detecting anomalies in a statewide housing market with alternative data
Machine Learning
Unsupervised Learning
GCP
Unsupervised learning (TDA) project to detect housing market anomalies built with Zach Stone for Haystacks.ai.
NYC DSA project with Zach Stone. Detected housing market anomalies with returns of over $100K/property in Georgia for Haystacks.ai by building a robust web scraping solution using Python/GCP and co-developing novel agglomerative clustering techniques (topological data analysis).