Brooke Stevens

Brooke Stevens

  • M.S. Data Science at Vanderbilt University
  • Former Data Science Intern at Microsoft
  • Former Data Science Intern at PwC

Welcome to my page!

M.S. Data Science at Vanderbilt University  💻

  • 🌎  I’m from Atlanta, GA
  • ✉️  You can contact me at brookestevens46@gmail.com
  • 📊  I’m passionate about using data science and machine learning to solve business problems
  • 🤝  I love working in teams
  • 🏃‍♀️  My hobbies include running, hiking, pickleball, and squash

Skills

  • Programming Languages: Python, R, SQL, HTML, CSS
  • Python Libraries: Matplotlib, NumPy, Pandas, Scikit-Learn, Seaborn, OpenCV, PyTorch, TensorFlow, Flask, LangChain, Streamlit
  • Cloud & DevOps: Microsoft Azure, AWS Cloud, Google Cloud, Docker, Kubernetes, Git/GitHub/Version Control
  • Data Engineering & Big Data: Spark, MapReduce, Snowflake, Alteryx
  • Data Visualization & Analytics: Tableau, Power BI, Microsoft Excel, Data Analysis, Data Wrangling, Data Storytelling and Communication

About Me

I graduated from Vanderbilt University in May 2026 with an M.S. in Data Science. During summer 2025, I worked as a Data Science Intern at Microsoft, where I built a logic extraction tool to convert internal IDEAS whitepapers into high-quality fine-tuning data for an AI agent. I also developed a reinforcement learning system using HuggingFace TRL to refine user prompts to the agent, achieving a 10% improvement in experimentation results for AI feedback optimization. In summer 2024, I worked as a Data Science Intern at PwC, where I developed a test data generator product powered by GPT-4. This tool saved about 2 weeks of data procurement time for accounting and consulting teams. I redesigned the front-end architecture of the product and integrated more complex prompting to expand the app’s capabilities. I also worked as an Analytics Intern at PwC during summer 2023, where I supported SQL and Excel data queries to create a unified data source for a major airline’s labor analytics team.

In May 2024, I graduated summa cum laude from Vanderbilt with a B.S. in Mathematics and Engineering Science and minors in Data Science and Business. I served as a Developer for the Vanderbilt Data Science Club during my junior year, where I created an email summarization and sentiment analysis tool specifically designed for individuals with cognitive disabilities. Additionally, as the Vice President of Finance and Social Chair for the Vanderbilt Data Science Club, I managed the organization’s funds, led general body meetings, built an application site, assisted with building a main website, and coordinated social events for developers.

Outside of my academic and professional interests, I enjoy going on scenic runs and hikes. I also stay active with friends through various pickleball and squash leagues. When I’m not out and about, I’m usually hanging out with my dog Bailey.

Looking ahead, I am eager to gain more industry experience and continue solving business problems using data science and machine learning techniques!

Relevant Coursework

  • Theory of Transformers & Generative AI
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Big Data & Distributed Systems
  • AI Application Development
  • Statistical Learning
  • Database Management Systems
  • Data Structures
  • Linear Algebra
  • Intermediate Statistics & Probability
  • Numerical Mathematics
  • Multivariable Calculus
  • Differential Equations

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