Education

University of Maryland, College Park, MD Aug 20' - Present

Ph.D. Economics

B.S. Economics, Magna Cum Laude; B.A. Studio Art, Magna Cum Laude, Honors

GPA: 3.9
Honors: Phi Beta Kappa, Design Cultures and Creativity Honors College (DCC), Dean's List Fall 14'-Spring 18'
Scholarships: Maryland Delegate Scholarship 17'-18', Creative and Performing Arts Scholarhip 17'-18'
Relevant Coursework: Intermediate Micro/Macroeconomics, Behavioral Economics, Labor Theory, Development Economics, Game Theory, Econometrics with Time Series, Multivariable Calculus, Probability and Statistics, Linear Algebra
Extracurriculars: Vice President of the Economics Association, Member of the Promoting Achievement and Diversity in Economics Fellowship, Member of the Math Club

Harvard Extension School: Linear Algebra and Real Analysis (4.0 GPA)Sep 19' - Dec 19'
Indiana University East: Introduction to Proof, Differential Equations (4.0 GPA)Jan 19' - Aug 19'

Quantitative Analyst, Model Risk Management

Researching the history of macroeconomic variables related to mortgage finance; reviewing the literature around the inclusion of unemployment in delinquency and default models; testing the inclusion/exclusion of macroeconomic variables in models; and preparing a presentation with recommendations for the Model Risk Oversight Committee
Working on a team of up to five other reviewers on model reviews/revalidations, including evaluating component econometric models and their usages, methodologies, assumptions, and limitations; checking and running code; and writing a final review memo for 7-10 reviews per year.
Applying machine learning techniques including random forest, gradient boosting, and neural networks to improve upon current models in model reviews, in a group project for a python reading group, and in a company sponsored hackathon.

Research Assistant

Under Dr. Murrell: Collected and cleaned biographical data for over 150 judges of the English courts during the 16th and 17th centuries; tested and implemented imputation techniques for missing data to enable increased data utilization
Under Sai Luo, a graduate student at UMD: Collected data on the annual volume of SAT test-takers per state; provided suggestions on alternative data sources including adding ACT data; improved and automated the data collection and cleaning process.

Data Analytics Intern, Supply Chain Risk Management, Safety and Mission Assurance Division

Compiled and analyzed data on over 750 NASA contracts and created data visualizations in Tableau of current supply chain relationships for two NASA missions.
Presented a poster on my data analytics contributions to over 2,500 staff and interns at a Goddard Summer Intern Poster Session and at a Directorate-wide meeting.

Risk Analysis Intern, Anti-Money Laundering and Risk Analysis Branch, Risk Management Supervision

Led a 3-person research group on Fintech relevant to banking and the FDIC that resulted in an unpublished paper and a briefing with the Director of the Risk Management Supervision.
Performed a literature review on the creation of De Novo banks during the Great Recession which resulted in a list of questions and answers for a briefing of the Chairman of the FDIC.
Synthesized 80 Reports of Examination into a single matrix of violations; independently analyzed and presented on trends by institution/region.

Proficient: R, Python, SAS, SQL, Tableau, LaTeX, Microsoft Excel, Adobe Creative Suite (Photoshop, Illustrator, Dreamweaver, Premiere, InDesign)
Basic Knowledge: STATA, HTML, CSS, GIT, Matlab

Introduction to Machine Learning-Duke University
Neural Networks and Deep Learning-DeepLearning.ai
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization-DeepLearning.ai
Structuring Machine Learning Projects-DeepLearning.ai
Convolutional Neural Networks-DeepLearning.ai
Sequence Models-DeepLearning.ai