Analysis · Modeling · Visualization

Hi, I'm Ben.

I'm a Statistics & Data Science student at UC Santa Barbara who likes turning messy datasets into clear answers.

~/models/ols_regression_fit.py

Y = β₀ + β₁X + εR² = 0.84

PYTHON · R · SQL · REGRESSION & GLMS · SURVIVAL ANALYSIS · CLUSTERING · HYPOTHESIS TESTING · DATA VISUALIZATION · PANDAS · NUMPY · STATSMODELS · SCIKIT-LEARN · MATPLOTLIB · AHREFS · LOOKER STUDIO · SEARCH CONSOLE · PYTHON · R · SQL · REGRESSION & GLMS · SURVIVAL ANALYSIS · CLUSTERING · HYPOTHESIS TESTING · DATA VISUALIZATION · PANDAS · NUMPY · STATSMODELS · SCIKIT-LEARN · MATPLOTLIB · AHREFS · LOOKER STUDIO · SEARCH CONSOLE ·

About

I'm an undergraduate studying Statistics and Data Science at UC Santa Barbara, where I'm fascinated by turning messy, real-world data into meaningful insights. My interests span machine learning, artificial intelligence, and statistical modeling, and I enjoy solving problems that sit at the intersection of data, technology, and decision-making.

Whether I'm building models in Python or exploring new research ideas, I'm always looking for opportunities to learn and create.

I'm currently a Data & AI Analytics Specialist at Insomniac Events, where I'm architecting a centralized data platform for their festivals and building the dashboards, AI chatbots, and recommenders that run on top of it. Alongside that, I'm an AI Research Assistant at UCSB's Center for AI & Society, and previously worked as a Data Analytics & SEO Strategy Intern at Taboola.

Outside of academics, I work as a campus tour guide, helping prospective students experience everything UCSB has to offer.

Based in
Los Angeles, CA
Santa Barbara, CA
Studying
Statistics & Data Science,
UC Santa Barbara
Working at
Data & AI Analytics Specialist, Insomniac Events
Research
AI Research Assistant, Center for AI & Society (Prof. David Lawson's Lab)

Projects

Completed — Case Study

NBA Career Longevity

Analyzed career length across 4,486 NBA players using injury logs, box scores, and season stats. Modeled survival with Kaplan-Meier curves and Cox regression, compared against OLS and logistic regression, and used K-Means to cluster player archetypes. Built and delivered a presentation with a research partner.

Survival AnalysisCox RegressionK-MeansPython

Completed — Interactive Web App

What Does the Internet Think of Your Name?

An interactive tool that turns any first name into a data-driven profile: living-age distribution weighted by SSA actuarial survival tables, a full 1880–present popularity arc with trend-archetype classification, cosine-similarity "name neighbors," and a US geographic over-index map. Built from real SSA national and state baby-name data.

Next.jsPythonSQLiteActuarial Analysis

In progress