DataRes @ UCLA is founded by data enthusiasts who love solving problems and crafting stories with data. We provide a platform for aspiring data scientists and analysts to work on savvy data projects outside of class that are geared towards making an impact. If you love playing with data, creating powerful visualizations, analyzing hidden trends or building predictive models, we would love to have you on the team.

We have 2 main teams at DataRes:

1. Research: Members of this team work on complex machine learning and deep learning problems involving the implementation of high-level machine learning and statistical models.

2. Data Blog: Members of this team work on analyzing datasets on all possible topics and presenting it to a cross-functional audience by the means of an article.


Education

Research

DataRes at UCLA

Sumedha Goyal

Caleb Tran

Daniel Neufeldt

Jonah Jung

Nalin C.

Xiaohan Sun

Yihuan Huang

Andrew Schweitzer

Steven Lu Chen

Rebekah Limb

Millie H.

Irene Zhang

Ethan Rauchwerk

The Data Team at DataRes @ UCLA is responsible for uncovering and interpreting trends in datasets, utilizing advanced statistical and machine learning models to provide actionable insights. They create powerful visualizations and share compelling narratives around their findings, impacting various domains. Additionally, they produce detailed articles to present their analyses to a broad, cross-functional audience, contributing significantly to the platform's educational and research goals.

Data Team

Data Team

About

Team members