Resume

• Analyzed large-scale datasets, high-volume transactions, operational and supply chain data to generate actionable insights across organizational programs.
• Designed, built, and maintained Power BI dashboards to provide real-time operational insights.
• Developed internal business applications using Power Apps to digitize processes and streamline workflows.
• Automated reporting pipelines and operational processes using Power Automate.
• Initiated and led the development of a Fleet Management System, a full-featured Power Apps solution digitizing vehicle booking, approval workflows, SLA tracking, cost allocation, and operational reporting.
• Initiated and led the development of an enterprise operational intelligence platform integrating CRM data, AI-powered analytics, and executive dashboards into a unified solution for call center operations.
• Designed SQL Server views, optimized complex queries, and implemented indexing strategies to enhance reporting performance across enterprise analytics solutions.
• Partnered with cross-functional stakeholders across Finance, Operations, Programs and Growth to gather business requirements, define KPIs, and deliver data-driven analytics solutions.

• Managed operational datasets across 470+ retail branches, ensuring accuracy and consistency across all data streams.
• Analyzed healthcare and insurance data to monitor claims and utilization trends.
• Built data models (DWH concepts) to consolidate snapshots, resignations, and workforce plans, cutting manual processing time by 40%.
• Developed Power BI dashboards to monitor HC, FTE movements, and workforce gaps vs plan — also covering insurance claims and utilization trends, improving reporting efficiency by 60%.
• Analyzed resignation patterns and root causes to support retention strategies.
• Tracked HR performance KPIs including turnover and manpower planning efficiency.
• Conducted sales & financial analysis, comparing units sold and ticket volumes against manpower levels with YOY ('24 vs '25) performance evaluation.

Completed an intensive 4+ month BI Developer track covering data warehousing, ETL pipelines, SQL Server, SSAS, SSIS, SSRS, Power BI, and advanced DAX — building end-to-end BI solutions from modeling to dashboarding.

Handled and analyzed large volumes of financial and contractual data related to military assets — including lands, farms, buildings, and lease agreements — ensuring data accuracy and supporting financial decision-making.