Snowflake-Labs/sf-samples
Nov 2024 – Nov 2024
1 Month active
Languages Used
CSVMarkdownSQLYAML
Technical Skills
Cortex AnalystData EngineeringData ModelingDocumentationSample Data GenerationSnowflake
Sikha Das
PROFILE
Sikha Das
Sikha Das developed industry data samples and practical use-case materials for the Snowflake-Labs/sf-samples repository, focusing on accelerating Cortex Analyst adoption across financial services, retail inventory, and healthcare insurance domains. She engineered cross-domain datasets and authored comprehensive setup instructions, READMEs, and YAML-based semantic models, ensuring that users could quickly onboard and apply Cortex Analyst to real-world scenarios. Sikha’s work emphasized data modeling, documentation, and sample data generation using SQL and YAML, resulting in maintainable, industry-ready resources. Her contributions improved the repository’s readiness for review and release, aligning with project milestones and enhancing the overall quality of analytics onboarding materials.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
3,594
Activity Months1
Your Network
329 people
Work History
November 2024
2 Commits • 1 Features
Nov 1, 2024Monthly summary for 2024-11 for Snowflake-Labs/sf-samples: Delivered Cortex Analyst Industry Data Samples and Practical Use Cases with cross-domain datasets, along with setup instructions, READMEs, YAML semantic models, and sample questions to accelerate Cortex Analyst adoption. Enhancements were implemented in two commits, enabling industry-ready samples and practical examples.
2 Commits • 1 Features
Nov 1, 2024Monthly summary for 2024-11 for Snowflake-Labs/sf-samples: Delivered Cortex Analyst Industry Data Samples and Practical Use Cases with cross-domain datasets, along with setup instructions, READMEs, YAML semantic models, and sample questions to accelerate Cortex Analyst adoption. Enhancements were implemented in two commits, enabling industry-ready samples and practical examples.
November 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVMarkdownSQLYAML
Technical Skills
Cortex AnalystData EngineeringData ModelingDocumentationSample Data GenerationSnowflake
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