People

Data Science & Data Vis | ML & AI | Causal Inference | Educator | Author & Speaker | Public Service

I'm interested in applications of data science within the public sector, specifically for analyzing and improving efficiencies in federal spending and business operations.

UI/UX Design, with a strong contribution from Cognitive Science.

Information, culture, and society. Library services. Bibliography and discovery. History and theory of documentation.

Passionate about improving management decision making, specifically by reducing reliance on HiPPO (Highest Paid Person's Opinion) and increasing usage of prescriptive analytics.

MIDS

Embrace the new, yet respect the old. Through innovation, let's reinvigorate legacy industries. Keep the focus sharp, the impact profound.

Machine Learning | Neural Networks | Kubernetes | Engineering

Data Analytics and Machine Learning with Python, Big Data and Cloud Computing, Data Visualization

As an experienced technologist and Enterprise Architect, I am passionate about the use of Data Science to deliver competitive business leverage while addressing issues such as economic inequality.