I lead, grow, and nurture teams of full stack data scientists and data engineers. I own the full lifecycle of data software implementation, from conception to prototype to production. I understand how to integrate the complexities and nuances of data science work into agile software development processes. I care more about understanding and solving real problems effectively than about implementing the hot new algorithm. I want to leverage all of these skills to make a positive impact on the world!My strongest subject matter expertise is in modeling the past, present, and future electric grid:- Demand and generation forecasting- AMI and SCADA data cleaning and management- Sizing, behavior, and adoption models for distributed energy resources like Solar PV, Battery Storage, Electric Vehicles and Chargers, Building Electrification, Energy Efficiency- Grid network/graph modeling- Impact of forecasted load on grid infrastructureMy strongest technical expertises: scalable distributed data pipelines, graph modeling, entity resolution, deploying machine learning models to production, teaching data scientists how to write production codeBefore I became a data scientist, I played and coached poker for a living. It's kind of like data science, but the playing field is a lot smaller.