Education

Masters of Science, Data Science

University of Colorado Boulder | Boulder, CO

2025 - Present (Exp: December 2026)

3.8 GPA

Bachelor of Science, Mathematics

Minor, Political Science

California Polytechnic State University | San Luis Obispo, CA

2020 - 2024

3.4 GPA

Capstone Project: Quantifying Impedance in Pleistocene Glacial Structures

See My Capstone

Certifications

Completed

Data Mining Foundations and Practice

  • Data Mining Pipeline: data understanding, preprocessing, warehousing

  • Data Mining Methods: frequent patterns, classification, clustering, outliers

  • Data Mining Project: project formulation, design, implementation, reporting

In Progress

Artificial Intelligence Graduate Certificate

  • Apply Machine Learning (ML) algorithms to real world data sets

  • Examine ethical issues in the design and implementation of current and future computing systems and technologies

  • Create an appreciation for the tight interplay between mechanism, sensor, and control in the design of robotic and intelligent systems

  • Study vital topics in generative AI reinforcement learning, natural language processing, and autonomous systems

IBM Data Science Professional Certificate

  • Master the most up-to-date practical skills and knowledge that data scientists use in their daily roles

  • Learn the tools, languages, and libraries used by professional data scientists, including Python and SQL

  • Import and clean data sets, analyze and visualize data, and build machine learning models and pipelines

  • Apply your new skills to real-world projects and build a portfolio of data projects that showcase your proficiency to employers

Google Data Analytics Professional Certificate

  • Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job

  • Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, Python, Tableau)

  • Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and Python

  • Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms

See My Project

Coursework

Mathematics Degree

Mathematics

  • Fundamentals of Computer Science

  • Calculus III

  • Calculus IV

  • Linear Algebra I

  • General Physics II

  • Methods of Proof in Math

  • Linear Algebra II

  • Differential Equations I

  • Introduction to Analysis I

  • Statistics I

  • Theory of Numbers

  • Linear Analysis II

  • Linear Algebra III

  • Combinatorial Math

  • Differential Equations II

  • Introduction to Probability

  • Abstract Algebra I

  • Statistics II

  • Introduction to Analysis II

  • Advanced Topics - Applied Mathematics Data Science

  • Discrete Math w/ Applications I

  • Game Theory

Political Science

  • American & California Government

  • Basic Concepts of Political Thought

  • Introduction to International Relations

  • Campaigns and Elections

  • Research Design

  • Data Analysis in Political Science

  • Civil Rights in America

  • Ethics & Political Philosophy

Data Science Degree

In Progress

  • Requirement Specifications for Autonomous Systems

  • Verification and Synthesis of Autonomous Systems

  • Basic Robotic Behaviors and Odometry

  • Robotic Mapping and Trajectory Generation

  • Robotic Path Planning and Task Execution

  • Computing, Ethics, and Society Foundations

  • Ethical Issues in AI and Professional Ethics

  • Ethical Issues in Computing Applications

  • Regression and Classification

  • Resampling, Selection, and Splines

  • Trees, SVM, and Unsupervised Learning

Completed

  • Probability Theory: Foundation for Data Science

  • Statistical Inference for Estimation in Data Science

  • Statistical Inference and Hypothesis Testing in Data Science Applications

  • Data Science as a Field

  • Cybersecurity for Data Science

  • Ethical Issues in Data Science

  • Fundamentals of Data Visualization

  • Algorithms for Searching, Sorting, and Indexing

  • Trees and Graphs: Basics

  • Dynamic Programming, Greedy Algorithms

  • Modern Regression Analysis in R

  • ANOVA and Experimental Design

  • Generalized Linear Models and Nonparametric Regression

  • Data Mining Pipeline

  • Data Mining Methods

  • Data Mining Project

  • Introduction to Machine Learning: Supervised Learning

  • Unsupervised Algorithms in Machine Learning

  • Introduction to Deep Learning

  • Relational Database Design

  • The Structured Query Language (SQL)

  • Modeling of Autonomous Systems

© Lily Stensland