Statistical training. Model evaluation. Applied decision systems.

A quantitative career spanning statistical evidence, predictive modeling, forecasting, model review, algorithmic decision systems, complex data, and technical instruction.

Professional profile

Stuart Jones is a statistician whose applied work spans data science, predictive-model evaluation, quantitative evidence, data quality, and algorithmic decision systems used in consequential settings.

He currently leads an analytics and data-science function in insurance regulation, including structured technical review of insurer-submitted AI and machine-learning models used in pricing, ratemaking, and underwriting. That work includes review of model specification, stability, interpretability, variable relationships, subgroup behavior, and fairness-related statistical analyses. His prior work includes criminal-justice decision systems and pretrial risk assessment, statewide education forecasting, regulatory analytics, and large-scale institutional data.

He holds an M.S. in Statistics from Auburn University, an M.S. in Mathematics Education, and a B.S. with a double major in Mathematics and Psychology. He is also a Certified Data Management Professional (CDMP), Associate Level.

In addition to applied practice, he serves as a Lead Trainer in Data Science & Artificial Intelligence and previously taught mathematics and statistics at the college level.

Stuart Jones Consulting is an independent practice. References to public-sector experience are provided solely as professional background and do not imply agency involvement, sponsorship, or endorsement.

Primary disciplines

Statistical evidence, predictive-model evaluation and validation, data quality and reproducibility, machine-learning model review, and algorithmic decision systems.

Current professional work

Chief Data Scientist in insurance regulation, including structured technical review of insurer-submitted AI/ML models, quantitative analysis, data quality, and methodological review.

Prior applied work

Senior data science work involving criminal-justice decision systems and pretrial risk assessment; statewide education forecasting; regulatory analytics and data systems.

Education

M.S. Statistics, Auburn University; M.S. Mathematics Education, Troy University; B.S. Mathematics and Psychology, Troy University.

Certification

Certified Data Management Professional (CDMP), Associate Level — DAMA International.

Teaching & technical instruction

Lead Trainer in Data Science & Artificial Intelligence; former Assistant Professor of Mathematics and Statistics.

Selected methods

Regression, logistic regression, ARIMA/time-series analysis, gradient-boosted trees, decision trees, isolation forests, clustering methods, model interpretation, statistical association, and anomaly analysis.

Data environments

Administrative, regulatory, financial, criminal-justice, education, operational, and document-centered data.

Detailed curriculum vitae available upon request.

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Selected relevant projects & analyses

Insurance AI/ML model review

Structured technical review of insurer-submitted models used in pricing, ratemaking, and underwriting, including specification, stability, interpretability, variable relationships, and fairness-related analysis.

Pretrial risk assessment

Statistical and data-science work involving pretrial release assessment, failure-to-appear and new-criminal-activity outcomes, transparent logistic models, and administrative justice data.

Financial-distress modeling

Exploratory insurer impairment and insolvency modeling using gradient-boosted trees and isolation forests, with company- and group-aware validation approaches to reduce leakage.

Statewide forecasting

Led statewide Full-Time Equivalent student-enrollment forecasting for Florida's 75 school districts using an established multi-component process incorporating time-series methods including ARIMA.

Scope matters.

Engagements are evaluated case by case. Stuart Jones Consulting does not accept work that would require opinions outside an appropriate scope of training and experience.

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Contact the practice for a detailed curriculum vitae or to discuss a potential engagement.

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