Skip to content
Kit Rice

B.S.P.H. Biostatistics · Class of 2027

Hi, I'm Kit.

Let's make something together.

Biostatistics senior turning messy data into actionable insights and building lean, energy-efficient ML along the way.

Read my thesisSay hello
Headshot of Kit Rice

UNC Chapel Hill · Tar Heel

About me

Currently
Seeking data science & analytics roles
Favorite charts
Heatmaps & forest plots
How I describe myself
Collaborative, affable, proactive

I'm a senior completing a B.S.P.H. in Biostatistics with minors in Mathematics and French, graduating in spring 2027. I'm passionate about data analytics: taking messy data and turning it into beautiful, clear, and functional visualizations. My favorite part is uncovering the secrets hidden in the data.

I'm also passionate about sustainable machine learning. I believe simple, well-designed models can be just as effective as massive ones, while being far more cost-effective and energy-efficient.

Outside of data, you'll find me singing jazz, reading sci-fi, rock climbing, or putting my random knowledge to the test at trivia.

Toolbox

  • Python
  • R
  • SQL
  • Tableau
  • JMP
  • SAS
  • Stata
  • Databricks
  • Java

Experience

  1. ERP Technology Intern

    Comcast NBCUniversal · Wi-Fi Architecture team

    May 2026 – Aug 2026

    • Built an end-to-end SQLite/Streamlit data platform for a ~20-person team, centralizing ingestion, cleaning, storage, visualization, and AI-powered natural-language querying of 14K+ records previously scattered across CSV files and Power BI.
    • Researched tool-augmented small language models and ran a cost-benefit analysis of local SLMs vs. cloud LLMs, recommending an enterprise-ready architecture to transition from GitHub Copilot to a locally hosted model.
    • Analyzed 16K+ Wi-Fi QA records and developed a predictive model to identify devices likely to fail testing before laboratory validation.
    • Evaluated an internal AI agent by modeling failure patterns across JIRA retrieval tasks.
    • Co-developed an LLM-based scam detection proposal for 10M+ Xfinity Mobile customers, presented to company executives, projecting over $20M in annual savings.
    • SQLite
    • Streamlit
    • Python
    • SLMs / LLMs
    • Predictive modeling

Take a look around