Quantitative Economics & Data Analytics

I work at the intersection of applied economics, statistical computing, and international trade. My focus is on leveraging Python and SQL to extract, model, and analyze macroeconomic indicators and trade flows in emerging markets.

Currently building open-source analytical tools and research briefs in preparation for undergraduate studies in Economics.

• Computational Economics & Scripting: Python (pandas, numpy, statsmodels, plotly, matplotlib)
• Database Management & Querying: SQL (PostgreSQL), Relational Database Design
• Data Ingestion & APIs: World Bank Open Data API, IMF Data Services, UN Comtrade
• Workflow & Infrastructure: Git, GitHub, Google Colab, Markdown, LaTeX

• global-economic-indicators
  Automated Python pipeline that queries the World Bank API to process and visualize real GDP growth, CPI inflation, and trade balances across target regions.

• trade-flow-analysis
  Empirical case studies analyzing bilateral trade dynamics, tariff impacts, and supply chain shifts in emerging markets.

• applied-economic-briefs
  A collection of data-backed notes exploring digital financial inclusion and regional market integration.

• Personal Portfolio: [Insert Website Link]
• Professional Network: Ali Al-khalidi
• Contact: aliarkanan@gmail.com