Macroeconomics Analysis (Intern)

This project focuses on analyzing market dynamics across various countries by scraping relevant data, orchestrating and mapping it to identify relationships between different economic items. The goal is to build a predictive model that forecasts price movements in these countries.

What You'll Do:

• Collect market-related data from different countries.
• Integrate and map the data to understand how different economic factors relate to each other.
• Develop a model to predict price movements based on the relationships discovered in the data.
• Analyze the data to uncover key insights into market behavior across countries.

Technologies:

• Python & Dagster: For data scraping, data processing, and building the predictive model (using libraries like pandas, numpy, and scikit-learn).
• SQL: For managing and querying the economic data.
• Power BI & Streamlit: For creating dashboards and visualizations to present the analysis results.