Akshita Gourshettiwar

• Collaborated with stakeholders to map data across multiple sources to design individual-level performance tracking (for New, Cross-sell, and Renewal), providing user support and reducing manual reconciliation time by 70%. • Supported the client in the implementation of the project and user training, designing drill down for top 10 opportunities at individual levels which empowered branch heads to act on priority deals, resulting 20% MoM sales growth. • Orchestrated automated percentage attainment metrics for achievement vs. target calculations (Placed, Invoiced, Renewal), allowing leadership to promptly pinpoint branches that aren't performing good.

• Delivered advanced business intelligence solutions at FIS Global, a leading Fortune 500 financial services technology company serving over 20,000 clients across 130+ countries • Developed complex DAX queries and created comprehensive data reports and dashboards for large-scale financial datasets to support critical banking and payment processing operations. • Implemented Row Level Security (RLS) and advanced Power BI features including sorting, grouping, hierarchies, and table calculations for enterprise-level data governance. • Connected Power BI to multiple enterprise data sources including Azure SQL Data Warehouse, Azure Analysis Services, and Excel for seamless data integration. • Managed dataset scheduling, workspace administration, and Power BI cloud service operations to ensure optimal performance and accessibility. • Created diverse visualizations including heat charts, clustered column charts, maps, matrices, and cards to drive data-driven decision making in the fintech sector. • Developed database objects including views and stored procedures to support comprehensive reporting requirements.

• Standardized data reporting processes across departments, using Power BI, SQL, and robust data modelling techniques to create consistent and accurate reports, resulting in a 20% improvement in data-informed strategies and streamlined workflows, enhancing Data Analytics capabilities. • Created and maintained 3 dashboards, including ongoing maintenance, tracking data quality metrics such as data completeness and accuracy; improved data integrity, which reduced downstream reporting errors by at least 10% per quarter. • Established a centralized data catalog and dictionary, enabling consistent data definitions and usage which reduced data-related project delays by 15% for the business intelligence unit. • Automated the extraction, transformation, and loading of 300,000+ customer records monthly into data warehouse; used SSIS and SQL, leading to faster report generation. • Developed and implemented data governance policies and procedures, collaborating with cross-functional teams to ensure data security and compliance, resulting in a 35% reduction in security vulnerabilities and improved data protection.