JohnSnowLabs/spark-nlp-workshop
Sep 2025 – Sep 2025
1 Month active
Languages Used
JSONJupyter NotebookPython
Technical Skills
Data AnalysisData EngineeringData ScienceJupyter NotebooksMachine LearningNatural Language Processing
Jay Gil
PROFILE
Jay Gil
Developed adopter-ready notebook demonstrations for the JohnSnowLabs/spark-nlp-workshop repository, focusing on accelerating onboarding and API integration for Spark NLP components. Delivered a clinical zero-shot named entity recognition example, a structured JSON converter for exporting NLP outputs, and an enhanced assertion merger with majority voting to address conflict resolution. Leveraged Python and Jupyter Notebooks to create clear, reproducible workflows that illustrate practical use cases in data science and natural language processing. The work emphasized hands-on guidance for configuring Spark NLP pipelines, enabling users to quickly adapt the tools for clinical and API-driven scenarios without requiring extensive prior setup or customization.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
2,702
Activity Months1
Your Network
15 peopleShared Repositories
15
Jose Pablo Alberto AndreottiMember
David CecchiniMember
DiaMember
DiaMember
diatrambitasMember
KshitizMember
Meryem SarikayaMember
Meryem SarikayaMember
bunyamin-polatMember
Work History
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025: Delivered adopter-ready notebook demonstrations for Spark NLP components to accelerate onboarding and API integration. Focus areas included zero-shot NER in clinical context, structured JSON export from NLP outputs, and an enhanced assertion merging example with majorityVoting to illustrate conflict resolution.
3 Commits • 1 Features
Sep 1, 2025September 2025: Delivered adopter-ready notebook demonstrations for Spark NLP components to accelerate onboarding and API integration. Focus areas included zero-shot NER in clinical context, structured JSON export from NLP outputs, and an enhanced assertion merging example with majorityVoting to illustrate conflict resolution.
September 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookPython
Technical Skills
Data AnalysisData EngineeringData ScienceJupyter NotebooksMachine LearningNatural Language ProcessingPython ProgrammingSpark NLP
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