Retired from career first as academic and then as data scientist; author of Calculus of Thought (writing new book in retirement)
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Assessing your cultural and operational fit
Principal Machine Learning Architect and Strategist who has developed proprietary AI solutions with wide application including in media and financial markets.
University of California, Irvine - College of Medicine
Postdoctoral Training, Applied Statistics and Research Methods
January 1, 1987 – January 1, 1990
University of New Hampshire
Ph.D., Research Psychology (specialized in Cognitive Neuroscience)
January 1, 1980 – January 1, 1986
Southeast Missouri State University
BA, History
January 1, 1976 – January 1, 1979
Rice Analytics
Principal Machine Learning Architect
January 1, 2006 – January 1, 2023
Rice Analytics
Statistical and Research Consultant
January 1, 1995 – January 1, 2006
University of Southern California
Assistant Professor
January 1, 1990 – January 1, 1995
Los Angeles, California, United States
UC Irvine
Postdoctoral Fellow/Adjunct Assistant Professor
January 1, 1986 – January 1, 1990
Irvine, California, United States
Cultural Fit Analysis
The candidate's background is heavily rooted in academic research and independent consulting, with a strong focus on advanced machine learning and statistical modeling. While the technical skills are highly relevant to a Data Analyst role, the extensive experience as a 'Principal Machine Learning Architect' and 'Statistical and Research Consultant' suggests a more senior, perhaps architect or lead data scientist, profile. The transition to a Data Analyst role might represent a significant shift in scope, potentially leading to overqualification for some aspects or a desire for a more focused analytical role. The breadth of industries (media, finance, defense, healthcare) demonstrates versatility.
Soft Skills & Operational Fit
The candidate demonstrates a strong history of independent research, consulting, and business ownership, suggesting high autonomy and problem-solving capabilities. Their academic and professional trajectory indicates a strong analytical mindset and a commitment to scientific rigor. The long tenure in consulting roles implies adaptability and client-facing skills, though direct evidence of team collaboration in a corporate setting is less explicit.