Resume

• Analyze large-scale datasets, high-volume transactions and Supply Chain data to extract actionable insights across organizational programs.
• Build and maintain Power BI dashboards providing real-time visibility into operations, programs, and KPIs.
• Develop internal business applications using Power Apps to digitize and streamline workflows.
• Automate reporting pipelines and operational processes using Power Automate.
• Initiated and led the Fleet Management System, a full-featured Power Apps solution covering vehicle booking, manager approvals, SLA enforcement, cost center charging, and movement reporting.

• 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.