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
Contributed to the Snowflake-Labs/sf-samples repository by developing Cortex Analyst industry data samples and practical use cases designed to accelerate customer onboarding and real-world adoption. The work involved curating cross-domain datasets for financial services, retail inventory, and healthcare insurance, accompanied by comprehensive setup instructions, detailed READMEs, and YAML-based semantic models. Leveraging skills in data engineering, data modeling, and documentation, the developer generated sample data and crafted practical questions to demonstrate Cortex Analyst capabilities. The deliverables aligned with milestone requirements, enhancing maintainability and analytics readiness while providing clear, reproducible examples using SQL, YAML, and Markdown for industry-specific analytics scenarios.
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
378 peopleWork 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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