
Breaking Games · ✅ Verified by Extern · ⏱️ In progress
SQL & Database Architecture Externship with Breaking Games
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
Breaking Games Externship via ExternPreparing to start my career, learning practical skills and seeking hands-on opportunities to build experience.
A collection of learning projects and early-stage work that demonstrate developing skills and practical problem solving.

Breaking Games · ✅ Verified by Extern · ⏱️ In progress
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
Preparing to start my career, learning practical skills and seeking hands-on opportunities to build experience.
I'm Karen Yeung. I have limited formal work experience and am preparing to start my career. I am eager to learn, build practical skills, and take on projects that help me grow professionally.
Externships
SQL & Database Architecture Externship with Breaking Games
In progress
Experience
Product Marketing Intern
Jambo · July 2024 -June 2025
Growth Specialist Intern
Dreamfora · March 2024-June 2024
Founder, Ecommerce Business
Heartcult | Depop · May 2020-February 2024
Marketing Intern
oakpool · November 2022- December 2022
Education
University of California, Berkeley
B.A. Economics · Class of 2026
Yonsei University, Seoul, KR
Study Abroad
Skills
✅ Verified by Extern · ⏱️ In progress
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
The externship converted six disparate CSVs into a coherent analytics database and produced a Q4 dashboard. The work documented source schemas, cleaned and joined tables, and defined core metrics for dashboard queries. Final deliverables included the transformed database schema and dashboard query set.

I inventoried six raw data sources, loaded them into the provided SQLite database, and wrote SQL queries that produced results for top products, revenue, catalog size, ad spend, and checkout counts.
I inventoried six data sources, ran SQL queries against the SQLite database, and recorded five instant answers (top products by units and revenue, plus query text and results) in a Week 1 playbook document.