Breaking Games Externship via ExternEarly-career professional with hands-on experience, focused on growing skills and delivering real project work.
A curated set of hands-on projects and work samples that highlight my growing skills, approaches, and outcomes.
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.
Processed 5,000+ unstructured user reviews using sentiment analysis, prioritizing UX improvement areas (+25% projected increase in user satisfaction)
Early-career professional with hands-on experience, focused on growing skills and delivering real project work.
I am Fang-Chun HUANG. I have some work experience and I am exploring where to take my career next, building practical skills and collecting projects that show what I can do.
Externships
SQL & Database Architecture Externship with Breaking Games
In progress
Experience
Data & Business Analyst
CEVA Logistics · June 2025 - Dec. 2025
Strategy & Innovation Analyst
Campus Région du numérique · June 2024 - Aug. 2024
Assistant Product Manager
Bandai Namco Europe · Sep. 2023 - Feb. 2024
Education
EDHEC Business School
Master in Data Analytics & Artificial Intelligence / Master in Business Management · Class of 2025
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 raw CSV data sources into a structured analytics database and a Q4 dashboard. The work cataloged source schemas, mapped relationships between sales, inventory, and customer records, and defined a cleaned, queryable schema for downstream analysis.
I audited all six source files, documented their schemas and contents, and produced SQL queries that returned five operational metrics: top products by units and revenue, catalog size, total Meta ad spend, and unique checkout sessions.
I audited the six data sources, recorded what each file contained, and ran SQL queries to produce five instant answers (top products by units and revenue, catalog size, total Meta ad spend, unique checkout sessions). I saved the results in a Week 1 playbook document.
Processed 5,000+ unstructured user reviews using sentiment analysis, prioritizing UX improvement areas (+25% projected increase in user satisfaction)
Ongoing profitability analysis for a multinational retail chain (100+ stores, 6 countries, 50K+ customers): RFM segmentation in Power BI already revealed that the "At Risk" segment generates more profit than "Champions," calling into question the effectiveness of the loyalty program