David Steier
Education
Carnegie Mellon University
PhD, Computer Science - AI 1982-01-01 - 1989-01-01
Purdue University
B.Sc., Computer Science 1979-08-01 - 1982-06-01Work Experience
Carnegie Mellon University
Current
Carnegie Mellon University
University of California, Berkeley
2015-09-01 - 2022-12-01
University of California, Berkeley
Deloitte
2010-06-01 - 2018-06-01
Deloitte
PwC
2003-08-01 - 2010-05-01
PwC
Indiewood Software Corporation
2002-08-01 - 2003-08-01
Indiewood Software Corporation
Kanisa
2001-06-01 - 2002-07-01
Kanisa
SapientRazorfish
1998-04-01 - 2001-06-01
SapientRazorfish
PwC
1993-07-01 - 1998-04-01
PwC
Carnegie Mellon University
1989-05-01 - 1993-06-01
Carnegie Mellon University
Skills
Summary
Background combines a PhD in artificial intelligence with over thirty years of experience in industrial, consulting and academic settings. Focus is data science and AI, especially predictive modeling, text mining, and social network analysis. Skills including strategic planning, technology due diligence, alliance development, and product management. Several dozen publications, four patent applications. Since 2013, Teaching graduate courses at CMU on AI, Managing Analytics Projects, Data Science and Product Management,, and executive education including modules in the Chief Data Officer Certificate program, Data Driven Leadership. Was course lead and co-instructor for UC Berkeley's masters' level data science capstone course Specialties: Analytics, enterprise data management, behavioral design, data science, Big Data, data visualization, health care informatics, fraud detection, anomaly detection, machine learning, human-computer interaction, artificial intelligence, customer relationship management, and data warehousing.
