Graph-Based Modeling for Question-Focused Datasets

Key developer supporting an enterprise system where users or agents formulated and maintained seed queries used to track evolving relationships in large-scale network models. This approach is typical of applications in fraud detection, content personalization, and cyber threat intelligence.

My primary role was the implementation of the graph construction and enrichment tier. This tier automated:

• Personalized PageRank-based walks from seed nodes

• Fusion of data attributes across structured and semi-structured sources

• Periodic aggregation via Airflow pipelines to maintain dynamic graphs

• Export of enriched results as spreadsheets or structured datasets

The graphs formed a question-focused view into complex data, evolving with each re-enrichment cycle to serve specific investigative or analytic purposes.