Finn Mokrzycki

About Finn Mokrzycki

As a Research Assistant at the University of Virginia School of Law, my focus is on deploying NLP techniques to develop LLM models that enhance the analysis of federal statutes. This work not only advances legal data science but also intersects with my ongoing master\'s studies in Data Science at UVA. Our team\'s efforts in web scraping and API integration have processed over congressional records, significantly improving research accessibility. Leadership is integral to my role as Data Science Co-Director at UVA Student Council, where we empower over students through innovative data initiatives. My ability to translate complex data into interactive platforms and insightful analyses has culminated in the successful development of a comprehensive website and optimization of large-scale student events. Through collaboration, we drive the student body towards a more data-informed future.

Experience

1. Software Engineer - Data

   Truist

   Apr 2025 — Present · Charlotte, NC, US

   At Truist, I played a pivotal role in advancing our data capabilities, focusing on developing tools that provided actionable insights for stakeholders. My work involved implementing data analysis and machine learning to uncover trends and optimize processes, significantly enhancing our reporting capabilities. This transformation of raw data into actionable intelligence was crucial for driving strategic initiatives and supporting the company\'s growth.

Education

• UVA School of Data Science

  Master of Science - MS, Data Science

• University of Virginia

  Bachelor's degree, Applied Statistics

  2021 — 2024