Education
Stanford University
Ph.D., Computer Science -Stanford University
M.Sc., Computer Science -Stanford University
Master of Science - MS, Industrial Engineering & Engineering Management -Harvard University
A.B., summa cum laude, Computer Science -Work Experience
Well-being and Equity (WE) in the World
Current
Well-being and Equity (WE) in the World
Steven Ketchpel Consulting
2005-10-01 - 2021-12-01
Steven Ketchpel Consulting
Mamapedia
2008-03-01 - 2011-04-01
Mamapedia
Thomson Reuters
2004-09-01 - 2005-06-01
Thomson Reuters
Vividence
1998-08-01 - 2004-09-01
Vividence
Skills
Summary
At WE in the World, we are building the social and vital conditions we all need to thrive on a foundation of racial and economic justice. As a data science leader with 20+ years’ experience, I lead and implement innovative initiatives that enhance user experience and meet organizational goals. I leverage my computer science / AI background for hands-on product design, often prototyping next generation proof-of-concepts or showing how data can meet user needs—I use data to solve hard problems and build innovative products. Attract and lead highly skilled full-time and contracted talent and foster culture of innovation and continuous learning. Expertise Machine learning; artificial intelligence; growth planning; user acquisition; business operation metrics; multi-sided markets; revenue & expense forecasting; RFM customer segmentation; SEO; CTR & CPM optimization; modeling & A/B experimentation