Dev Conference by Neo4j
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Session Track: Data Science
Session Time:
Session description
We developed a knowledge graph to support continuous education training for adults in Singapore. Our graph interlinks jobs, skills, courses, and training providers in Singapore, unlocking powerful insights across these domains. This graph serves as a foundation for Retrieval Augmented Generation (RAG) of insights. We will demonstrate how we maintained historical data over the years in the knowledge graph and utilized it for automatic insight reporting through GraphRAG.
Data Scientist, GovTech Singapore and Skillsfuture Singapore
Sarah is a data scientist at the Government Technology Agency and SkillsFuture Singapore working on projects and products that support upskilling and career mobility. With a diverse background spanning data science, public policy, and e-commerce data analytics, Sarah brings a unique perspective to the field. Experienced in building knowledge graphs, developing RAG pipelines, and MLOps, Sarah is passionate about leveraging technology to drive insights and innovation. Beyond work, Sarah enjoys badminton, scuba diving, and dabbling in home-brewing and mixology.
Data Scientist, GovTech Singapore
Physics PhD, Smart Manufacturing Researcher turned Data Scientist for public good
