microsoft/Conversation-Knowledge-Mining-Solution-Accelerator
Dec 2024 – Dec 2024
1 Month active
Languages Used
PythonSQL
Technical Skills
Data EngineeringData ManipulationPySparkSQL
ravi kiran
PROFILE
Ravi Kiran
During December 2024, Ravi Kiran developed a feature for the microsoft/Conversation-Knowledge-Mining-Solution-Accelerator repository to enhance Power BI dashboard reporting. He engineered data manipulation logic using PySpark and SQL to adjust sample data date ranges, ensuring dashboards display data for the current day, previous two days, and previous seven days. Ravi refactored date handling to robustly manage null values and edge cases, improving data reliability for demonstration scenarios. He updated the ckm_conv_processed table by recalibrating StartTime, EndTime, and ConversationDate fields, aligning them with new reporting requirements. This work demonstrated depth in data engineering and careful attention to reporting accuracy.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
174
Activity Months1
Your Network
4197 people
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024Monthly summary for 2024-12: Delivered a feature to improve sample data date range and distribution for Power BI dashboards in microsoft/Conversation-Knowledge-Mining-Solution-Accelerator. Enhanced reporting reliability by adjusting date ranges to show data for the current day, the previous two days, and the previous seven days; refactored date manipulation to handle nulls and ensured data distribution across a two-week window for demonstration. Updated ckm_conv_processed table with adjusted StartTime, EndTime, and ConversationDate fields to align with new reporting requirements.
1 Commits • 1 Features
Dec 1, 2024Monthly summary for 2024-12: Delivered a feature to improve sample data date range and distribution for Power BI dashboards in microsoft/Conversation-Knowledge-Mining-Solution-Accelerator. Enhanced reporting reliability by adjusting date ranges to show data for the current day, the previous two days, and the previous seven days; refactored date manipulation to handle nulls and ensured data distribution across a two-week window for demonstration. Updated ckm_conv_processed table with adjusted StartTime, EndTime, and ConversationDate fields to align with new reporting requirements.
December 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
Data EngineeringData ManipulationPySparkSQL
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