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Schultheis

Fung Excellence Scholarship

Highest Honors

• Developed robust predictive models ussing traditional and alterna- tive data for credit-risk assessment, supporting the underwriting of millions of dollars of loans in the specialty finance industry.

• Utilized and worked extensively with big-data and cloud technolo- gies such as GCP’s Vertex AI, Dataproc, BigQuery and Apache Spark to securely and efficiently analyze millions of records of consumer data.

• Communicated complex technical concepts and analytical findings effectively to stakeholders with varying levels of technical expertise, facilitating informed decision-making processes.

• Created data pipelines using Apache AirFlow to efficiently transform and load terabytes of consumer credit data.

• Conducted thorough data preprocessing and feature engineering to optimize model performance and enhance predictive accuracy.

• Designed compelling data visualizations using tools like Matplotlib, Seaborn, and ggplot2 to effectively communicate complex insights to stakeholders.

• Conducted novel economic research in the areas of finance and industrial organization.

• Collaborated with economists to produce statistical analyses of economic data used in banking regulation, monetary policy, and academic research.

• Provided technical expertise to assist economists with the gather- ing, cleansing, engineering and analysis of data, including natural language processing, web scraping, and machine learning.

• Developed ETL pipeline in Python, R, and Bash to update and main- tain MySQL database and data dashboard.

• Created data visualizations in R and Python for use in reports to the Congress and Board of Governors.