About Me

An International Economics & Trade student bridging academic theory and data analytics.

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My Journey

I am currently an undergraduate student majoring in International Economics & Trade in China, studying entirely in the Chinese medium. This unique academic environment has given me a deep understanding of emerging markets, global trade frameworks, and cross-border logistics, alongside Mandarin proficiency.

Driven by curiosity and a love for learning, I am teaching myself data analysis and engineering in parallel with my degree. I believe that the future of trade lies in data-driven optimization. My goal is to apply data science—such as ETL pipeline design, database management, and econometric modeling—to solve complex, real-world problems in Global Supply Chain Management.

Areas of Focus & Learning

Trade & Supply Chain

Studying global supply chain networks, logistics corridors, tariff impacts, and trade facilitation mechanisms between China and global markets.

Data Analytics

Learning to extract, clean, and analyze macroeconomic datasets (IMF, World Bank, WTO) using Python (Pandas) and SQL to uncover trade trends.

Web & Database

Building interactive dashboard terminals using React, Hono, and Drizzle ORM to visualize economic indicators and logistics metrics.

Academic & Technical Toolkit

Academic Focus:
International Trade TheorySupply Chain LogisticsMandarin (Business Medium)Micro/Macroeconomics
Data & Languages:
PythonSQLTypeScriptHTML/CSSPandasMatplotlib
Tools & Databases:
PostgreSQLNeonDrizzle ORMHonoReactGitVercel