
Shannon Feagin
College of Charleston, Class of 2025
From Charleston, SC

College of Charleston
Yonsei University
Implemented dynamic mathematical lesson plans via various software to engage students with arithmetic for expected career paths.
Accomplishments:
Implemented the use of C, C+ software for geometry trigonometry-based students
Utilized economic modeling theory for calculus and statistical students
Provided Algebra 1-3, Probability and Statistics, Geometry, Trigonometry, and Calculus materials
Oversaw company software systems regulation and maintenance via front-end frameworks and applications
Engaged in the cross-sectional arithmetic theory for student learning growth
Lead sustainable development in Asia report
Accomplishments:
Curated a database containing all of South Koreas, Nepal's, Cambodia's, Thailand's, and Mongolia's economic reporting activity/progress in comparison to their sustainability reporting and progress based on international and local information systems.
Managed over 15,000 non-SQL high-quality photo reports
Established relationships with stakeholders in Nepal, India, Thailand, Cambodia, New York, South Carolina, and South Korea, as well as International NGOs such as Eco-Peace Asia, Yonsei ISEP/GEEF community, World Bank Sustainability sector, KEPCO, Miyamoto RELIEF, Dhakhwa House, UNESCO Cambodia, Charleston Tibetan Society, College of Charleston Financial Society, Hibernian Society, and LG.
Worked in the IBM community in the prototyping for IBM Watson's AI during developmental stages. Onboarded various data warehouses for the development of IBMs sustainability regulation systems throughout their cloud servers.
Accomplishments:
Curated neural pathways and linkages between data clouds with various programming terminals for Watson development
Managed regulatory data in the development of IBM's sustainable systems implementation
Utilized SQL to query Chicagos census, crime, and school demographic sets for local government
Wrangled, cleaned, and velocitized large data sets to create regression models for real estate pricing predictions with the Python library.
Applied and Compared machine learning classification algorithms to predict loan risk assessments for a local bank in India.
Curated Tableau dashboards to monitor, report, and improve US domestic flight reliability
Extracted and graphed the annual financial data of American car companies with the Pandas Python Library
Maintained systems on current market performance and developed prediction algorithms for individual shareholder performance. Lead multiple teams in procedures and regulatory systems.
Accomplishments:
Achieved top performance in prediction algorithms for financial markets
Curated new Excel dashboards for company, stock, and accounting shareholders
Grew performance portfolio by 26% or 4% more than market average.