Carolyn Wang

About Me

Hi! My name is Carolyn and I'm a fourth-year student at UC Berkeley. I'm currently studying Computer Science and Political Economy, which is just a fancy way of saying that I love coding, ML, data visualizations, civic tech, and more.

If you're looking for something formal, here's my resume.

But if you'd like to learn something more interesting about me, let me show you some of my

favorite songs

, my artwork, or some poetry that I like.

Experience

SWE Intern: ML & Backend, Meta (Recommendation Systems Team)

Python, SQL

I worked on the In-Feed Recommendations team for Facebook Groups. My work focused on data retrieval, building pipelines, and developing ML generators to recommend group posts.

Projects

Click on the upper-half image to go to the website, or click on the bottom-half of the card for more information.

Machine Learning

CV: photo alignment

Identifying Bias in Asylum-Adjudication

EDA & classification models for analyzing US asylum cases.

Berkeley Food Pantry Daily Footfall

RNN Time series model to help a local food bank predict daily footfall.

Web Design

Tiny Pet Turtle

A turtle that follows your cursor.

Boston.gov Website Elements

Full-stack web development internship project

Twitter Academic Research Tool

Research tool to help human rights investigators find and document war crimes evidence on Twitter

Personal Website

Volunteering & Tech for Social Good

On the side I'm involved in civictech and tech for social good. Here's some of the work I've done in that space

Technical Researcher, Berkeley Law School: Human Rights Investigations Lab

Python (Beautiful Soup, Pandas, Matplotlib, Seaborn)

I write open-source code to track human rights violations as a part of Berkeley's Human Rights Investigations Lab. I coded data analysis on asylum seekers and my findings were used by Human Rights First to create a report for officials at the Department of Homeland Security.
Additionally, our team authored a paper which used ML to identify bias in asylum adjudication cases. This paper won Best Paper at the selective algorithmic-bias conference EAAMO 2022.

Full-Stack Software Intern, Boston.gov

SASS, SCSS, Javascript, HTML

I worked on the City of Boston's Digital Team as a software intern through the Coding it Forward Civic Innovation Corps. As a full-stack developer, I coded over 10 new web components for the new Boston.gov Design System, conducted usability and accessibility testing on the Drupal 8 content-management system, and replaced outdated legacy applications to provide greater internal efficiency.

Chief of Staff, ASUC Office for Tech, Social Good, and Data Science

I led over 30 associates in a Berkeley student government branch dedicated to increasing tech opportunities for underrepresented minority students. I oversaw projects including speaker panels for women in tech, internship fairs, and professor coffee chats for URM students. I also launched Berkeley's tech-for-social-good newsletter which has over 300 subscribers.

Data Analyst, Virginia State Representative Dan Helmer

Python, Google App Script, Excel

I volunteered as a data analyst on state representative Dan Helmer’s 2021 campaign through a Bluebonnet fellowship. I analyzed vast amounts of historical national voter data to created data visualizations that could be easily interpretted by the campaign team. Helmer's district is predominantly Asian and his opposing candidate was Asian-American, so I focused on understanding the (often overlooked) AAPI voting bloc to optimize campaign ad placement across Asian-American social media platforms. Ultimately, this helped increase voter engagement by over 16% compared to the previous years.

Unfortunately the data I worked with is confidential under NDA, so I can't share my code.