Arizona State University (ASU)

Arizona State University (ASU) is a leading public research university located in Tempe, Arizona, and is recognized as one of the most innovative universities in the nation. Committed to inclusivity, excellence, and real-world impact, ASU is redefining the role of higher education through a unique model that emphasizes access, innovation, and societal benefit.

ASU serves more than 150,000 students across multiple campuses and online programs, offering a wide range of undergraduate, graduate, and professional degrees. The university is structured around a dynamic mix of academic units, including the Ira A. Fulton Schools of Engineering, W. P. Carey School of Business, Barrett, The Honors College, and many others.

Key points about ASU:

Ranked #1 in Innovation by U.S. News & World Report for nine consecutive years
Home to interdisciplinary research centers addressing global challenges in sustainability, health, engineering, and AI
Located in the heart of the Phoenix metropolitan area, one of the fastest-growing tech and business hubs in the U.S.
Strong commitment to student success, diversity, and entrepreneurship

ASU’s mission is to advance knowledge and foster discovery that drives meaningful change, both locally and globally.

A New American University — measured not by whom it excludes, but by whom it includes and how they succeed.

Learn more at asu.edu

Bachelor's of Science in Computer Science & Data Science

Arizona State University – Ira A. Fulton Schools of Engineering
Expected Graduation: Spring 2027
Tempe, Arizona

I am currently pursuing a double major in Computer Science and Data Science at Arizona State University’s Ira A. Fulton Schools of Engineering. My academic experience is rooted in a blend of theoretical foundations and hands-on application, preparing me to solve complex problems at the intersection of software engineering, machine learning, and data analytics.

My coursework includes key subjects such as:

Data Structures and Algorithms
Database Systems and Cloud Computing
Probability and Statistics for Data Science
Artificial Intelligence and Machine Learning
Linear Algebra, Discrete Mathematics, and Multivariable Calculus

Outside the classroom, I actively engage in teaching, tutoring, and collaborative projects, reinforcing my technical communication skills and expanding my practical understanding of CS and DS topics.

Focus Areas

Software Development: Writing efficient, maintainable code across multiple languages and paradigms
Data Analysis & Visualization: Extracting insights from complex datasets using statistical and computational techniques
Algorithmic Thinking: Developing scalable solutions with a focus on time and space complexity
Applied Machine Learning: Exploring supervised and unsupervised learning techniques through projects and coursework
Technical Communication: Articulating complex ideas clearly to peers, faculty, and broader audiences

Tools & Technologies

Languages: Python, C++, Java, SQL
Libraries: NumPy, Pandas, Scikit-learn, Matplotlib
Frameworks: TensorFlow (intro), React (self-taught)
Environments: GitHub, Jupyter Notebook, VS Code

Garrett Gibson

Bachelor's of Science in Computer Science & Data Science

Focus Areas

Tools & Technologies