Designed and governed enterprise KPI frameworks supporting executive, operational, and functional reporting., Standardized metric definitions and calculation logic across BI platforms, reducing KPI discrepancies by 30%., Built automated KPI reporting pipelines and scorecards improving reporting cycle time by 40% and increasing leadership visibility., Developed predictive and diagnostic models using statistical analysis, regression, clustering, and machine learning techniques., Leveraged Teradata Aster for large-scale analytics, cohort analysis, segmentation, and pattern detection across high-volume datasets., Applied machine learning outputs to performance optimization, forecasting, and decision support use cases., Delivered executive dashboards, KPI scorecards, and operational reports using Tableau, Power BI, Qlik, and SSRS., Built SQL-driven reporting solutions on Microsoft SQL Server enabling scalable, repeatable insight delivery., Enabled self-service BI through governed datasets, standardized KPIs, and intuitive visualization design., Identified and resolved critical data quality issues impacting KPI reporting, analytics, and machine learning outputs., Implemented data validation, reconciliation, and control processes to restore trust in enterprise reporting., Partnered with senior stakeholders to align analytics outputs with business objectives and measurable outcomes.