About Me
Hello, and welcome to my website. My name is Orion Haunstrup, and I am a first-year master's student at the University of Colorado Boulder studying Data Engineering. I hold undergraduate degrees in both Computer Science and Honors Mathematics.
Outside of my formal education, I have spent more than ten years pursuing theoretical mathematics as a personal passion, developing original results and exploring challenging math problems.
I love programming and have experience with a variety of languages including Python, C, C++, Scala, R, Let, Assembly, and Basic. My interests include machine learning, data science, artificial intelligence, and mathematical modeling.
Technical Skills
Python, C, C++, Scala, R, SQL, NumPy, Pandas, Matplotlib, GitHub, Flask, LateX (Overleaf), Web Design, Microsoft Office, Machine Learning, Data Engineering, Machine Learning, Artificial Intelligence
Academic Experience
Mathematics Research, Proof Writing, Data Analysis, Machine Learning, Statistical Modeling, Technical Communication, Leading Mathematics Recitations
Relevant Computer Science Coursework
Algorithms and Data Structures, Computer Systems, Information Visualization, Designing Programming Languages, Statistical Methods and Applications, Data Mining, Software Development Tools and Methods, Machine Learning, Database Systems
Relevant Mathematics Coursework
Multivariate Calculus, Higher Dimensional Analysis, Real and Complex Analysis, Topology, Differential Equations, Number Theory, Analytic Number Theory, Abstract Algebra, Dynamical Systems, Chaos Theory, Lebesgue Measure Theory
Professional Competencies
Reliability, Attention to Detail, Quick Learning, Organization and Time Management, Teamwork, Collaboration, Adaptability, Strong Work Ethic
Education
Master of Science in Data Science
University of Colorado Boulder — GPA 4.0 / 4.0
Applied Computer Science Post-Baccalaureate
University of Colorado Boulder — GPA 3.91 / 4.0
Honors Bachelor of Science in Mathematics
University of Rochester — GPA 3.86 / 4.0
Study Abroad
University of Auckland— GPA 4.0 / 4.3
Graduation est 2027
Boulder, CO
2026
Boulder, CO
2020
Rochester, NY
2019
Auckland, New Zealand
Career Goals
My primary interests lie at the intersection of data engineering, machine learning, artificial intelligence, and mathematical modeling. I enjoy using data-driven methods to identify patterns, build predictive systems, and solve complex problems.
As I continue my graduate studies, I hope to pursue opportunities in machine learning, data science, data engineering, or software development, where I can combine strong quantitative reasoning with practical software engineering to create impactful solutions.
Personal Philosophy
"If numbers aren't beautiful, I don't know what is" — Paul Erdös
My approach to software development is heavily influenced by my background in mathematics. I enjoy understanding why a solution works, not just whether it works. Whether building a machine learning model, performing exploratory data analysis, or writing code, I prefer to start with first principles and develop a deep understanding of the problem before searching for an answer.
For more than a decade, I have pursued mathematics as my life's deepest joy. I am drawn to interesting, complex problems and enjoy exploring questions that require creativity, persistence, and careful reasoning. The opportunity to venture where few others are willing to tread — and sometimes discover something truly brand new — is what continues to inspire my work.