Summary
Soumya Brahma is a Data Governance Specialist with 11 years of experience applying ontology engineering, knowledge graphs, and W3C semantic standards (RDF/OWL/SKOS/SPARQL) to make enterprise data AI-ready and interoperable. She has led end-to-end ontology lifecycles and semantic integration for healthcare, life sciences, and FAIR data initiatives, translating complex business requirements into scalable semantic models and knowledge graphs. At organizations from research centers to consultancy and enterprise logistics, she has bridged business and technical stakeholders to establish master data standards, business glossaries, and automated semantic QA using tools like Neo4j, Virtuoso, Protégé, and SHACL. Soumya combines hands-on graph engineering—developing Cypher plugins and Kubernetes-integrated Neo4j workflows—with governance practice, contributing to CAB processes and glossary migrations. Her background in both clinical terminology mapping (SNOMED CT, ICD) and production graph pipelines means she not only designs ontologies but also operationalizes them for analytics and ML readiness. Based in Greater Poland, she brings a rare mix of research-driven semantic rigor and practical enterprise delivery.
10 years of coding experience
Master’s Degree, Information and Communication Technology, Master’s Degree, Information and Communication Technology at Poznan University of Technology
Bachelor's degree, Electronics and Telecommunication Engineering, Bachelor's degree, Electronics and Telecommunication Engineering at West Bengal University of Technology, Kolkata
English, Polish, Spanish, Bengali, Hindi