•Created an open-source graphical analyzer using Python to decipher legal documents and transfer data to a readable and interactive platform for the U.S. government•Created a cost-recovery mechanism using Excel to analyze and store data to track government expenditures, facilitating private income transfers from noncustodial parents to their children

•Selected from a competitive pool of applicants as a mentor to guide female students pursuing economics•Strengthened mentorship, leadership, and interpersonal skills by fostering a 2-year relationship with mentees

•Nominated to advise economic department undergraduate students on course selection, research topics and extracurriculars based off past experience

•Refined communication and leadership skills as an ambassador representing the University of Wisconsin-Madison, fostering meaningful connections and addressing inquiries amongst the minority student population

•Facilitated learning by tutoring Math and English to high school children year-round, leading to improved understanding and academic performance. Independently ran the franchisee’s profitable summer camp.

•Developed Natural Language Processing (NLP) models leveraging Python for anonymizing qualitative text to enable data sharing in the healthcare domain•Implemented data extraction routines utilizing Excel to source personally identifiable information (PII) from textual documents for the development and training of computational NLP models