Ben Hudson Email & Phone Number

Seattle, Wa, Us

San Francisco, Ca, Us

Delivered machine learning models from concept to production to support lot acquisition strategy for Homebound, a tech-powered homebuilding company. • Developed internal, company-specific home value forecasting model from prototype to production used to allow CEO and other leaders to make critical business decisions• Maintained and added models to machine learning pipelines responsible for Home Valuation & Appreciation to deploy capital into the most attractive real estate markets• Engineered geospatial data pipeline to enhance lot acquisition strategy using OpenStreetMap

Seattle, Washington, Us

Improved home valuation models with leadership on geospatial projects; Blended machine learning models and human processes to accurately price homes purchased by Zillow Offers.• Owned and improve crucial home similarity model used throughout valuation process• Created a new home valuation model leveraging data collected during home inspections and other non-standard data• Technical lead on experiments measuring benefits of computer vision products for pricing accuracy

Seattle, Washington, Us

Applied Scientist improving Zillow's flagship machine learning product, the Zestimate. I was the main team member thinking about geospatial data science improvements to the product. Prototyped and developed production spark (pySpark) code to ETL new geospatial data sources into existing spark Zestimate pipeline.

Seattle, Washington, Us

Internship work lead to full time employment offer and U.S. Patent application.

Seattle, Wa, Us

Data science: Implemented new cloud-based framework (Google Earth Engine) that allowed processing of multi- terabyte image archive leading to first ever measurements of over 250 rivers in Greenland. Migrated code from Python to JavaScript (reducing code base 60 percent) Statistical methods: Utilized Python-based parallel processing approaches to optimize Monte Carlo simulations of water flowing in glaciers Teaching: Leading GeoHack week teaching data science to more than 50 geoscience graduate students, post-docs, and faculty

Boulder, Colorado, Us

Studied Greenland rivers and glaciers using field and satellite based observations, data science, and modeling Data analysis and engineering: Created Python processing pipeline to request imagery from NASA API, clean data, and analyze 12+ years of satellite imagery Computer vision: Developed digital photogrammetry projects to study rivers and deltas Project management: Planned and executed three field campaigns in Greenland, including extensive ground truthing efforts coincident with requested acquisitions by NASA satellites Teaching: Received exemplary formal review scores from students on teaching style and effectiveness; outperformed department and campus average ratings by 15 and 13 percent respectively

Washington, Dc, Us

I worked as a paralegal in the Environmental Enforcement Section, primarily enforcing Clean Water Act and Superfund cases. My work as a paralegal expanded to include data management and some geospatial work.

Phd, Geological And Earth Sciences/Geosciences

Bachelor Of Arts (B.A.), Geological And Earth Sciences/Geosciences