Michael Early

MA Economics · Data Scientist · Quantitative Economist

I use econometrics and data science to answer hard empirical questions, from causal inference to statistical modeling and ML.

About Me

I'm an MA Economics candidate at Cal State Fullerton (GPA 3.93) specializing in quantitative methods, causal inference, and applied data science. My work combines econometric identification strategies like difference-in-differences, regression discontinuity, and instrumental variables with machine learning for prediction, classification, and NLP.

I'm currently a Graduate Intern in Enterprise Architecture at First American, building LLM-powered tools and Power BI dashboards. My research interests are in labor markets, policy evaluation, and market structure, and I care about taking projects from messy raw data all the way to results that are actually useful.

Experience

Graduate Intern — Enterprise Architecture

First American Strategic Tech Team · Santa Ana, CA

Jun 2025 – Present

Built and deployed a GPT-based tool to analyze business architecture, surface inefficiencies, and support structural redesign
Migrated a 10,000+ record database while preserving relational integrity, and built Power BI dashboards used across departments

Teaching Associate & Graduate Research Assistant

CSUF Economics Department · Fullerton, CA

Jan 2025 – Present

Led weekly section of 40 students in undergraduate economics
Used Python and Excel to analyze institutional enrollment data and identify trends for departmental planning

Projects

Causal inference, labor economics, market efficiency, and statistical forecasting. Full write-ups linked below.

Fast-Food Minimum Wage (AB 1228)

Quasi-experimental DiD and Triple-Difference design to identify minimum wage effects on youth employment

Forecasting Super Bowl Odds

Time-series modeling and statistical tests of betting market efficiency using Super Bowl futures data

NFL Quarterback Wage Discrimination

Regression-based wage decomposition testing whether race explains pay gaps conditional on performance in NFL contracts

NFL Sunday Ticket Pricing Model

Quantitative IO model of monopoly bundling and optimal pricing applied to sports broadcasting markets

Technical Skills

Languages

Python SQL R Stata C++

Econometrics

DiD IV RD Panel methods Statsmodels Causal inference

ML & AI

Scikit-learn Hugging Face Transformers RoBERTa OpenAI API PyTorch

Data & Visualization

Pandas NumPy SciPy Matplotlib Seaborn Power BI

Resume

Download Resume (PDF)

Contact

Email: michaelarly.mpe@gmail.com

LinkedIn: linkedin.com/in/michael-early-

GitHub: github.com/michael-early