Long-term reference
Built as a personal knowledge archive for concepts, skills, tools, and frameworks learned across my undergraduate coursework.
Learning archive
SDSU Undergraduate Career Archive
A curated academic and leadership archive documenting my development across data science, leadership, applied learning, and reflection at San Diego State University.
This repository is not a homework archive. It is a structured record of coursework, projects, notes, leadership artifacts, and reflections that show how I learned, applied, and synthesized concepts throughout undergrad.
Purpose
Academic portfolio
Demonstrates my ability to explain, apply, and reflect on the ideas I studied, rather than simply listing courses completed.
Leadership record
Documents meaningful leadership experiences, including organizations I founded, student initiatives I helped build, and artifacts tied to decision-making and impact.
Professional context
Provides reviewers, mentors, collaborators, and recruiters with a transparent view into how my technical and leadership development evolved over time.
Repository structure
Content is organized by major, division level, course, and applied leadership experience. The emphasis is not completeness for its own sake, but clarity, judgment, and evidence of meaningful learning.
Data Science Major
- Lower Division: foundational coursework, summarized syllabi, and selected artifacts where the material was meaningfully applied.
- Upper Division: applied work, notes, examples, and reflections tied to statistics, computing, modeling, and data science practice.
Leadership Minor
- Lower Division: foundational leadership coursework with brief documentation.
- Upper Division: selected artifacts and reflections from courses with strong personal, professional, and developmental impact.
Extracurricular Leadership
This section documents meaningful leadership experiences outside the classroom, including organizations I founded or served in leadership roles for. Artifacts focus on applied leadership work, decision-making, and impact rather than participation alone.
What you will find
Notes & summaries
Original notes, conceptual summaries, and course-level documentation used to preserve important ideas beyond the semester.
Applied projects
Select analyses, programming work, examples, and artifacts showing how course concepts were applied beyond theory.
Leadership artifacts
Reflections, planning documents, and leadership materials connected to organizations, service, mentoring, and institutional contribution.
Progression reflection
A written reflection on how I chose my coursework over time, including tradeoffs between academic depth, early experience, internships, and long-term growth.
Academic integrity
This repository intentionally excludes graded exams, homework submissions, and copyrighted instructional materials. It is designed for learning documentation and professional context, not course replacement or redistribution.
All substantive content and artifacts reflect my own academic work and understanding. AI tools were used sparingly and transparently, such as for syllabus summarization, and never as a substitute for academic work or original reasoning.
Why this matters
This archive reflects more than a list of classes. It shows how I approach learning: organize the material, identify what matters, apply it where possible, reflect on the tradeoffs, and preserve the lessons for future work.
Positioning
This is a supporting portfolio artifact. My main case studies focus on strategy and operations analytics, workforce analytics, AI-assisted reporting, and decision-support systems. This archive adds context for the academic and leadership development behind that work.
In short: it is the record of how I built the foundation behind the projects, leadership work, and professional direction shown elsewhere on this site.