
Worked on the microsoft/Conversation-Knowledge-Mining-Solution-Accelerator repository to deliver a feature enhancing Power BI dashboard reporting. Developed data engineering solutions 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. Refactored date manipulation logic to robustly handle null values and edge cases, improving data reliability for demonstration scenarios. Updated the ckm_conv_processed table by aligning StartTime, EndTime, and ConversationDate fields with new reporting requirements. Focused on data manipulation and distribution across a two-week window, the work improved reporting accuracy and supported evolving business intelligence needs.
Monthly 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.
Monthly 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.

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