James Decker

Background

About James Decker

Primary Goal: Enabling businesses and non-profit organizations to acquire knowledge through data and make efficient data-based decisions. General Skills: Recommending, designing, and implementing data science systems and models. Managing complex knowledge-based systems that return value to organizations. Designing, implementing, and validating statistical and knowledge-based analyses and software systems for competitive advantage. Experience Summary: 30+ years developing software systems and tools for analyzing human data (clinical health, attitude, sensory, opinion, and consumer-behavioral) data with advanced methods (e.g, Regression models, Structural Equation Models, Bayesian belief networks, Item Response Theory, preference maps). 25+ years developing quantitative systems in research environments. People & project management in these contexts. Broad,cross-discipline education (Psychology, Computer Science). Extensive work-with-experts-in-field experience. Highly developed communications skills and experience making in-depth presentations of results. Specialties: Text Analytics, Predictive data modeling, Segmentation, Psychometrics, Quantitative analysis, Regulatory compliance, Statistical system building. Analytic/Scientific software architecture & design. System Validation and Unit-Testing. Extensive use of specialized knowledge-based software for text-mining and advanced machine learning. Primary application areas : Consumer and employee understanding (human motivation), consumer sensory research, Clinical research, Analysis of medical record and insurance data. Additional Keywords: Data Science, Business intelligence, Machine Learning, Text analytics, Measurement theory, Cognitive theory, Sensory theory, Validation. Primary Software tools SAS, SPSS, R, BayesiaLab, LISREL, Python, PolyAnalyst. Other specialized languages & platforms.