
Mariana Moreno developed and enhanced data analytics and reporting features for the IDESIE/MBIM24_SQL repository over a two-month period, focusing on SQL-driven solutions for space and component management. She consolidated analytics queries to provide aggregate metrics and cross-facility reporting, enabling more informed space planning and faster decision-making. Her work included refining SQL scripts for improved reliability and performance, as well as organizing and updating data extraction processes. Mariana also contributed educational SQL materials to support skill development. Leveraging SQL, database management, and data analysis, she delivered maintainable, well-structured assets that strengthened both business reporting and internal training resources.

March 2025 (IDESIE/MBIM24_SQL) — Key features delivered, major fixes, impact, and skills demonstrated. Focused two primary outcomes: 1) feature delivery to enable data-driven space management, and 2) skill-building resources for SQL proficiency. Key features delivered: - Space and Component Analytics and Reporting: consolidated analytics queries for aggregate metrics, counts, space names, and top-space area reports across facilities and floors, enabling cross-site visibility and informed space planning. - Educational SQL Practice Materials: added a new SQL exercise file focused on subqueries and JOIN operations to help users practice complex data retrieval scenarios. Major bugs fixed: - No critical defects reported this period; applied query refinements and reliability improvements to analytics assets to ensure accurate, faster data retrieval. Overall impact and accomplishments: - Expanded business value with consolidated analytics across facilities, accelerating space-utilization decisions and improving reporting consistency. - Strengthened training resources, enabling quicker onboarding and upskilling in SQL for analytics tasks. Technologies/skills demonstrated: - SQL analytics, subqueries, JOIN optimization, and data consolidation across multiple tables. - Refactoring of analytics queries (SQL scripts) for reliability and performance. - End-to-end delivery from data modeling to reporting assets and educational materials.
March 2025 (IDESIE/MBIM24_SQL) — Key features delivered, major fixes, impact, and skills demonstrated. Focused two primary outcomes: 1) feature delivery to enable data-driven space management, and 2) skill-building resources for SQL proficiency. Key features delivered: - Space and Component Analytics and Reporting: consolidated analytics queries for aggregate metrics, counts, space names, and top-space area reports across facilities and floors, enabling cross-site visibility and informed space planning. - Educational SQL Practice Materials: added a new SQL exercise file focused on subqueries and JOIN operations to help users practice complex data retrieval scenarios. Major bugs fixed: - No critical defects reported this period; applied query refinements and reliability improvements to analytics assets to ensure accurate, faster data retrieval. Overall impact and accomplishments: - Expanded business value with consolidated analytics across facilities, accelerating space-utilization decisions and improving reporting consistency. - Strengthened training resources, enabling quicker onboarding and upskilling in SQL for analytics tasks. Technologies/skills demonstrated: - SQL analytics, subqueries, JOIN optimization, and data consolidation across multiple tables. - Refactoring of analytics queries (SQL scripts) for reliability and performance. - End-to-end delivery from data modeling to reporting assets and educational materials.
February 2025 highlights for IDESIE/MBIM24_SQL: Delivered two main features—marketing assets for presentations and asset library, and Alegra data extraction script enhancements—along with disciplined version control and improved data retrieval capabilities. No major bugs fixed this month. The work strengthens marketing readiness, data-driven reporting, and overall project velocity.
February 2025 highlights for IDESIE/MBIM24_SQL: Delivered two main features—marketing assets for presentations and asset library, and Alegra data extraction script enhancements—along with disciplined version control and improved data retrieval capabilities. No major bugs fixed this month. The work strengthens marketing readiness, data-driven reporting, and overall project velocity.
Overview of all repositories you've contributed to across your timeline