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.