Economic Intelligence Dashboard: Predictive Modeling & Real-Time Visualization: Architected a high-fidelity full-stack platform designed to aggregate and visualize macroeconomic indicators from the World Bank Open Data API. This project combines live data orchestration with machine learning to provide predictive insights into global GDP, inflation, and labor trends.

Technical Deep-Dive:

Data Pipeline: Engineered a Python/Flask backend to normalize and serve real-time macroeconomic data, ensuring consistent data structures across diverse international sources.

Predictive Analytics: Implemented a regression-based forecasting tool that utilizes historical time-series data to project future GDP growth with interactive user-input variables.

Geospatial & Statistical UI: Developed a responsive frontend using React and Leaflet.js, featuring dynamic map hotspots and complex statistical overlays using Plotly.

Insight-Driven Design: Optimized the platform for data storytelling, allowing users to reveal hidden correlations between variables like inflation and unemployment through interactive scatter plots.