Tirumala Bade

Increased academic reporting accuracy by 25% through translating complex stakeholder needs into detailed functional specifications and designing robust BI solutions.

Reduced data processing time for student enrollment figures by 30% by optimizing complex SQL queries to efficiently manage large datasets from disparate sources.

Achieved 99.5% data completeness and compliance by spearheading a data lineage initiative, tracing student data from source to report and reviewing data models.

Developed comprehensive process flow diagrams and documentation, improving team alignment and achieving a 95% user-acceptance rate for new reporting tools.

Gathered and analyzed data requirements for a new institutional reporting system, ensuring alignment with business specifications and annual university report generation.

Improved student record data accuracy by 20% and reduced manual effort by 35% by automating data validation processes using Python and SQL.

Reduced data exceptions by 15% by investigating and resolving data quality issues within an Agile/Scrum framework, ensuring timely compliance reporting.

Managed and tracked administrative requests via a ServiceNow-like system, ensuring thorough documentation and workflow adherence.