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Ugochukwu Obunadike

Principal Data Scientist specializing in Generative AI, NLP, and MLOps

San Francisco, CAPrincipal Data Scientist12 years experiencePrincipalConsultingHealthcareFinancial Services
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About

ML/NLP practitioner with banking experience (M&T Bank) who has built a GPT-4 RAG system using LangChain and Pinecone to connect unstructured customer data with internal knowledge bases, improving accuracy and reducing manual lookup time by 50%+. Strong in entity resolution and productionizing scalable Python data workflows, including major performance wins by migrating bottleneck joins from Pandas to Dask.

Experience

Principal Data ScientistCognizant
Data ScientistM&T Bank
Data ScientistSMART SAVE SUPERMARKET LTD.
Data ScientistIntertek

Education

University at Buffalomaster, Data Science (2016)
University at Buffalobachelor, Computer Science (2014)

Key Strengths

  • Built production RAG system connecting unstructured customer data to internal knowledge bases
  • Tooling/architecture selection for scalable vector search (LangChain + Pinecone + GPT-4)
  • Entity resolution expertise (fuzzy matching, TF-IDF similarity, clustering) with rigorous validation
  • Improved response accuracy and cut manual data lookup time by 50%+
  • Performance optimization of data workflows (Pandas to Dask) reducing runtime from 1+ hour to <10 minutes
  • Production-grade Python workflow practices (modular design, testing, logging, documentation, scalability)

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Languages

English

Skills

AIOpsAgile MethodologyAirflowAPI DevelopmentAWSAWS LambdaAWS S3AWS SageMakerAzureBackend DevelopmentBERTBigQueryCI/CDCollaborative FilteringContent-Based Filtering