Data science consulting on various projects, assisting companies build and integrate production-grade ML applications.

I ran the Wise Data Science Applications team at GE. We were the first team within GE to deploy machine learning in production into their core businesses: Aviation, Power, Oil & Gas, and Renewables. Our application workflows ingested large-scale sensor data (time-series and images) to augment or automate the decision-making workflows around asset health & maintenance. We deployed across 10k+ aircraft engines, 25k+ wind turbines, 2k+ gas & steam turbines, and millions of miles of O&G pipelines.

At wise.io, we built a fully containerized production-grade ML system that enabled us to rapidly build and deploy scalable ML applications. Our main product was a plug-n-play ML application for customer support case handling, integrated with Zendesk & Salesforce Service Cloud. We supported dozens of customers and 100+ in-production models with a small technical team. Our clients included Thumbtack, Expedia, Groupon, Lyft, Gusto, and Pinterest.

Taught Bayesian statistics course for senior undergraduate majors.

Development of statistical and machine-learning methodology for real-time analysis of data from time-domain astronomy.

TA for: Intro Statistics, Statistical Graphics & Visualization, Data Mining

Fulbright Scholar. Worked with Dr. Hugo Schwarz on 3D reconstruction of planetary nebulae from spatially resolved spectral data and monitoring the sky brightness levels in the north of Chile.