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6915 N Greenview Ave	                        Austin Belman	                                                      (312) 909-4735 

Chicago, IL, 60626	                        <PRESIDIO_ANONYMIZED_URL> 	                  <PRESIDIO_ANONYMIZED_EMAIL_ADDRESS> 

 

Objective			  

To obtain a challenging internship to apply strong quantitative skills, econometric techniques, and extensive research experience in market trends and price forecasting to contribute to trading strategies and market analysis. 

 

Education			 

 

University of Illinois Urbana-Champaign 

MSc in Agricultural and Consumer Economics					          	         	      Expected May 2026 

Focus: Applied Time Series Econometrics 

 

B.S. in Econometrics and Quantitative Economics							        May 2024 

Minor in Statistics; GPA: 3.57/4.00 

Coursework: Econometrics (ECON 471), Economic Forecasting (ECON 475), Time Series (ECON 491), Applied Machine Learning (ECON 491), Linear Algebra (MATH 257), Statistics and Probability (STAT 400, 410) 

 

Relevant Experience											 

 

University of Illinois Urbana-Champaign, Department of Agricultural & Consumer Economics 

 

Research Assistant: 										         	         Fall 2024 

Researching Price Analysis and Commodity Futures Markets under the supervision of Dr. Maria Teresa Serra Devesa. 

Quantitative Research Experience										 

 

University of Illinois Urbana-Champaign, Department of Economics 

 

Research Assistant: Enhancing Counterfactual Analysis with Factor Models	    			    Spring 2024 

 

Translated complex theories and Matlab code for factor models and idiosyncratic correction based on Fan, Masini, and Medeiros (2021) to python and R. 

Led a team of 8, managing timelines, testing, and documentation. 

 

Research Assistant: Predictive Modeling of Ames Iowa Housing Prices                   			         Fall 2023 

Utilized Random Forest and Lasso techniques to predict housing prices, achieving an 0.92 R-Squared. 

Won best model in class competition, shared findings on Kaggle, receiving feedback from the data science community. 

 

Research Assistant: Fast Food Sales Predictions                 						         Fall 2023 

Implemented random forest algorithm to address missing data in a simulated fast-food sales dataset, reaching a 98% prediction accuracy. 

Developed a strategy to train the model and predict missing values, ensuring high accuracy and reliability. 

 

Professional Experience											 

 

Office of Alderperson Maria Hadden 							       	             	      Chicago, IL 
Constituent Services Intern							     		      January - June 2022 

Resolved constituent issues related to mail, unemployment, worker’s compensation, and taxes. 

Organized 10 events, greeting and guiding over 25 constituents daily. 

 

Weiss Hospital										       		     Chicago, IL 
Emergency Medical Technician Instructor					       		 Summers 2018 - 2021  

Trained over 300 students in EMT-Basic, emphasizing real-world scenarios and team exercises. 

Developed and implemented training scenarios for classes of 30 students, enhancing training effectiveness. 

 

Skills														 
 

Programing languages: Python, R (Advanced) 

Machine Learning: TensorFlow, scikit-learn, random forest, neural networks 

Data Analysis: Econometrics, forecasting, statistical analysis, data visualization (Matplotlib, Seaborn, ggplot2), data wrangling 

Tools: Jupyter Notebook, Git, GitHub