Graduate computer science
Computer science graduate work with a data science concentration, including database systems, graph analytics, AI/ML, and computational systems.
My academic path runs through Tallahassee State College, Florida State University, and Florida Atlantic University — from IT foundations and data science into graduate computer science. The valuable part is not just the credential. It is the pattern: programming, databases, statistics, information architecture, networking, data mining, security, and systems thinking.
The coursework matters because it explains why the portfolio crosses so many layers without being random.
The transcript-backed foundation behind the technical work.
Computer science graduate work with a data science concentration, including database systems, graph analytics, AI/ML, and computational systems.
Bachelor’s work in IT, data science, information systems, network administration, data mining, information architecture, and leadership.
Transfer foundation across programming, statistics, algebra, communication, ethics, humanities, psychology, economics, and databases.
Introductory Statistics, College Algebra, Precalculus, Data Mining & Analytics, and later ML/data projects.
Information Technologies, Information Systems & Services, Network Administration, IT Professions, and database-oriented computing.
Technical Communication, Public Speaking, Argument and Persuasion, IT Leadership, Ethics, and student organization leadership.
The academic story is not just degrees. It is a layered foundation for the way I work now: technical communication for client-facing work, information architecture for websites, statistics for analytics, network administration for security support, and databases for backend/data reasoning.
That matters because my portfolio sits between disciplines. The transcript explains how that happened.
The projects are the proof of application. The coursework is the underlying map that shows where the range came from.