Paul Hendricks

Paul Hendricks is a senior solutions architect at NVIDIA, helping retailers with their deep learning and AI initiatives. Paul's background is primarily in retail, and he's spent the past six years working with many Fortune 500 retail companies to implement data science and AI solutions. Prior to joining NVIDIA, Paul worked at Victoria’s Secret as a data scientist, building models to understand customer propensity to purchase and how to optimize assortment in stores. Currently, Paul's research at NVIDIA focuses on using deep learning in intelligent video analytics, NLP, conversational AI, recommendation systems, and machine learning.

Posts by Paul Hendricks

Data Science

Interactively Visualizing a DriveTime Radius from Any Point in the US

What is geospatial drive time? Geospatial analytics is an important part of real estate decisions for businesses, especially for retailers. There are many... 8 MIN READ
Recommenders / Personalization

Best Practices for Using AI to Develop the Most Accurate Retail Forecasting Solution

A leading global retailer has invested heavily in becoming one of the most competitive technology companies around.  Accurate and... 16 MIN READ