I specialize in leading large cross functional collaborations, for integrating ML into human decision systems to create revolutionary unlocks. The largest completed project to date was integrating real time ML into the monitoring & diagnostics of jet engines for GE, who manufacture 60% of the world's jet engines. The current project underway is integrating ML's ability to predict how well fashions will do in the Stitch Fix ecosystem, with just an image, into the product lifecycle at Stitch Fix.An artifact of working on these cutting edge applications is the early identification of challenges before they become industry wide areas of interest and just enough research to show initial solutions. Challenges include Multi-Objective Optimization in 2012, Replication in Data Science in 2016, and The Uncanny Valley of ML in 2018.Featured Talks:• MLConf - The Uncanny Valley of ML• MLConf - Counter Intuitive ML for the Industrial IoT• Strata NY, featured speaker, 'Replication in Data Science'• Strata San Jose, featured speaker, 'Economic Insights from LinkedIn's Professional Network'• Code Enterprise, The Rules of Work Have Changed, 'Pinterest Data Science'• Structure Data, 'Doing Unicorn-Scale Data Science'• ICERM, 'Math and Data Science'• Keynote 'Search, Growth, and Engagement Metrics: North Stars or Snake Oil'Pro bono work:• Education and Nonprofit Boards• Guest lectures for Data Science courses• Reviews on books• NSF funding panels
Listed skills include Data Analysis, Machine Learning, Python, Data Mining, and 22 others.
