Global Job Intelligence — Updated

Global Job Intelligence — Updated Version

I designed and built an automated job-market intelligence platform that collects, cleans, normalizes, deduplicates, and analyzes listings from six global sources through daily data pipelines.

The latest version includes:

• Approximately 20,000 job records • 93 passing automated tests • 16 standardized job categories • Improved parent/child category hierarchy • More accurate normalization and deduplication • Expanded filters for company, category, seniority, work mode, salary availability, source, and publication date • Interactive market intelligence and pipeline-health monitoring • Downloadable CSV and Excel reports

Built with Python, PostgreSQL, Pandas, Streamlit, Plotly, APIs, Playwright, and GitHub Actions.

This project demonstrates how I transform fragmented web data into reliable, searchable, and decision-ready business intelligence.

Live Dashboard: https://global-job-intelligence.streamlit.app/

GitHub: https://github.com/niisa0/global-job-intelligence

Portfolio: https://niisa0.github.io/