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👋 Hi there! I'm Angel Chen 👋

💬 Pronouns: she/her

💻 Personal website: angelchen7.github.io

I'm a data analyst at the National Center for Ecological Analysis and Synthesis (NCEAS), supporting the Long Term Ecological Research (LTER) Network synthesis working groups. Visit the SciComp team's homepage to learn more about how we help LTER working groups! In short, I help develop reproducible workflows to wrangle, harmonize, analyze, and visualize ecological datasets. I'm interested in learning about the best practices for reproducible, open science. In my spare time, I like to watch birds 🐦

Pigeon eating an ice cream cone, downtown San Francisco

📝 Experience

  • 2022 - Present: Data Analyst for LTER working groups
  • 2019 - 2022: Data Curator for NCEAS Arctic Data Center

📖 Education

  • 2021: Bachelor of Science in Statistics & Data Science from UC Santa Barbara

Angel Chen's Projects

awesome-earth-artificial-intelligence icon awesome-earth-artificial-intelligence

A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.

chen_test icon chen_test

This is an example repository for the Learning Hub's course on Feb 27, 2024.

credit-card icon credit-card

PSTAT 135 project, in this project we predicted whether a client will default on their credit card payment next month based on various features. This is a machine learning project.

cute-cats-dogs icon cute-cats-dogs

Practice materials accompanying the Just enough CSS (and Sass) workshop

mypaper icon mypaper

What the Package Does (One Line, Title Case)

physicians-and-us-counties icon physicians-and-us-counties

My team and I investigate how to best estimate the number of physicians in a US county using various predictors. This is a project on linear regression.

renewable-energy icon renewable-energy

I investigated the total monthly consumption of renewable energy in the US from January 2001 to January 2020 in order to come up with a model for future forecasting. This is a time series project.

spam-emails icon spam-emails

In this project, together with my group members, we explored the relationship between certain common keywords in emails and whether an email is classified as spam. This is a machine learning project.

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