Education
01Economic Quantitative
Analytics
Master of Science
DePaul University
Economic Data Analytics
Bachelor of Science
DePaul University
THEOPHILE MULLER / PORTFOLIO
CHICAGO —:—Résumé
ECONOMICS · ANALYTICS · RESEARCH
Theophile
Muller.
Economics student and consultant in Chicago.
I’m studying Economic Quantitative Analytics at DePaul and working as a consultant at Kehoe Designs. My work includes economic research, financial reporting, and building tools to make everyday tasks easier.
M.S. Candidate, Economic Quantitative Analytics
DePaul University
02 / CURRICULUM VITAE
Education & experience
Download résuméEconomic Quantitative
Experience
02Consultant
Kehoe Designs
Economic Research Assistant
DePaul University
Teaching Assistant
DePaul University
Accounting & Data Analytics Intern
Kehoe Designs
SKILLS
Technical skills
Data analysis
R · Python · Stata
SQL · SAS
Reporting
Excel · Power BI
Programming & automation
JavaScript · HTML · CSS
C# · Java
Power Automate · Power Apps
03 / RESEARCH
Research
Two papers I wrote at DePaul, on public opinion in France and stock return forecasting.
APPLIED ECONOMETRICS
Terrorist Attacks and Political and Social Attitudes in Europe
I used European Social Survey data to study whether the 2015–2016 attacks in France changed people’s views on immigration and politics.
R / STATADownload paper
More about the paper
QUESTION
Did the attacks change political and social attitudes in France?
DATA
11 ESS rounds, 2002–2022 · ~322K observations · France + 13 control countries · World Bank GDP per capita, population, unemployment, and net migration · Global Terrorism Database fatalities.
METHOD
Difference-in-differences, event study, controls, and robustness checks.
TOOLS
R · Stata
RESULT
I found no statistically significant change in attitudes toward immigration. The estimate for political ideology was a 0.256-point shift to the right.
TAKEAWAY
The results differed by outcome. Whether these estimates capture the effect of the attacks depends on the study’s identification assumptions.
FINANCIAL ECONOMETRICS
Can Machine Learning Predict Rivian Returns?
I compared Random Forest with time-series models to see how well each predicted Rivian’s daily stock returns.
R / MACHINE LEARNINGDownload paper
More about the paper
QUESTION
Does adding economic indicators and volatility measures help predict Rivian’s returns?
DATA
613 daily observations, Jan. 2024–Jun. 2026 · 126-day out-of-sample test set.
METHOD
ARIMA · ARIMAX · GARCH family · Random Forest.
TOOLS
R
RESULT
Random Forest had the lowest test-set RMSE (0.0305) and correctly predicted the direction of returns 64.3% of the time.
TAKEAWAY
Random Forest performed best in this test. That result is specific to the data and test period used here.
04 / SELECTED PROJECTS
Selected projects
Outside of my coursework, I build websites about geography and French history.
GEOGRAPHY PRACTICECarte BlancheGeo.
01 / INTERACTIVE GEOGRAPHY
Carte Blanche Geo
I built this geography game with different ways to practice, daily challenges, and saved progress. It also includes streaks and leaderboards.
JAVASCRIPTHTML / CSSSQL
Play Carte Blanche Geo (opens in a new tab)FRANCE HISTOIREA timeline of
French history.
French history.
02 / INTERACTIVE HISTORY
France Histoire
I built France Histoire to bring French history together in one place. You can browse events in order, follow stories, and explore historical maps.
JAVASCRIPTHTML / CSS
Visit France Histoire (opens in a new tab)01 / 02BROWSE PROJECTS
05 / CONTACT
Contact
If you’d like to talk about my work, a research project, or a job opportunity, send me an email.
Email me