Economic Research Analyst, Maryland Policy and Market Research Group (quant model evaluation and data validation)
Designed and evaluated quantitative models and multi-step analytical problems with a focus on validity and reliability. Validated statistical outputs using Python and assessed forecasting assumptions, constraints, and model limitations. Conducted large-scale data analysis to identify inconsistencies and produce structured, reproducible reports grounded in logical reasoning. • Python-based statistical output validation (NumPy, Pandas, SciPy) • Forecasting assumption and limitation assessment • Large-scale inconsistency detection and reliability improvement • Generation of clear, reproducible analytical reports