John Brassard

Driven Employee Relations Specialist at Hyundai Motor Group Metaplant America, skilled in data analysis and visualization. Developed executive reports and presentations. Proven problem solver with strong analytical thinking, delivering actionable insights that improved employee engagement and informed decisions.

• CURRENT PROJECT: U.S. Productivity Forecasting Model | A multi-factor regression framework to forecast U.S. labor productivity and TFP growth using 20+ FRED macroeconomic series; applied growth accounting decomposition (Solow residual methodology) to isolate capital deepening, labor composition, and residual TFP components; implemented lag structures, Newey-West serial correlation corrections, and a Chow structural break test to evaluate AI-driven productivity acceleration — motivated by the Warsh Fed Chair nomination thesis.
• Determinants of Job Satisfaction, Independent Research, Analyzed Kaggle employee survey data using linear regression in R to identify key drivers of job satisfaction, finding that strong work-life balance mitigated the negative effects of stress and workload, and visualized results to clearly communicate main and interaction effects.
• Modeling Consumer Sentiment Index, Georgia Southern University, Developed a Vector Autoregressive (VAR) model to forecast consumer sentiment, incorporating macroeconomic indicators informed by economic theory and Granger causality testing, achieving a one-step-ahead forecast error of approximately one index unit.
• Forecasting GDP Growth with Uncertainty Indexes, Georgia Southern University, Built a predictive regression model in R integrating economic uncertainty indexes and lagged macroeconomic indicators, selecting variables using coefficient analysis and F-statistics to improve GDP growth forecast accuracy.