Breaking Games Externship via Extern
Data-driven researcher at Emory University, skilled in SQL, Python, statistical modeling, and data visualization. Transitioning into data science and analytics roles.
Projects showcase quantitative analysis, literature synthesis, and written recommendations from my graduate research and coursework at Emory.
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.
Data-driven researcher at Emory University, skilled in SQL, Python, statistical modeling, and data visualization. Transitioning into data science and analytics roles.
I am Fred Huang, a Ph.D. researcher at Emory University. I specialize in data analysis, statistical modeling, and translating complex findings into clear insights. I am actively building industry skills in SQL and Python, and am seeking data science and analytics opportunities outside academia.
Externships
SQL & Database Architecture Externship with Breaking Games
In progress
Experience
Data Analyst Graduate Assistant
Emory University · Feb. 2023 6Present
Data Analyst Graduate Assistant
Emory Global Engagement · Aug. 2025 6Present
Business Consultant
Noldus (Beijing) Information Technology Co., Ltd. · Mar. 2019 6Apr. 2022
Education
Emory University, Rollins School of Public Health
Ph.D., Environmental Health Sciences Population Health Data Science
Emory University, Rollins School of Public Health
M.S., Biostatistics
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 messy CSV data sources into a structured analytics database and produced a Q4 dashboard. Work involved inventorying source files, profiling data quality and schema inconsistencies, and designing a consolidated schema ready for ETL and dashboarding.
I built an initial SQLite analytics environment, authored the SQL queries needed to answer five core operational questions (including top products by units and revenue), and compiled a project playbook documenting queries and outputs.
During Week 1 I inventoried six data tables, wrote and ran SQL queries in the supplied SQLite DB, and recorded five instant answers (top products by units and revenue, etc.). The deliverable captured queries, outputs, and a running project playbook.