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Steven Ketchpel, PhD

Steven Ketchpel, PhD

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Director Of Community Technology Operations & Innovation @ Well-being and Equity (WE) in the World Director of Community Technology Operations & Innovation @ WE in the World | Data Science Leader | User Growth | Using data to solve hard problems and build innovative products
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Education

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Stanford University

Ph.D., Computer Science -
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Stanford University

M.Sc., Computer Science -
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Stanford University

Master of Science - MS, Industrial Engineering & Engineering Management -
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Harvard University

A.B., summa cum laude, Computer Science -

Work Experience

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Well-being and Equity (WE) in the World

Current

Well-being and Equity (WE) in the World

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Steven Ketchpel Consulting

2005-10-01 - 2021-12-01

Steven Ketchpel Consulting

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Mamapedia

2008-03-01 - 2011-04-01

Mamapedia

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Thomson Reuters

2004-09-01 - 2005-06-01

Thomson Reuters

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Vividence

1998-08-01 - 2004-09-01

Vividence

Skills

Growth Initiatives Data Science Artificial Intelligence (AI) Growth Planning Tableau SQL Python (Programming Language) Office 365 Data Management A/B Experimentation Modeling CPM Optimization CTR Optimization Search Engine Optimization (SEO) RFM Customer Segmentation Expense Forecasting Revenue Forecasting Multi-sided Markets Business Operations Customer Acquisition

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

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