Automated bidding processes and data flows by integrating Power BI with SQL (SSMS) and Python (Pandas, NumPy), improving system performance and efficiency by 15% while eliminating 10+ hours of manual effort weekly.Developed and optimized Power BI dashboards using DAX and Power Query, providing actionable freight and sales insights that increased sales by 10% and cut shipping costs by 12%.Streamlined reporting for cross-functional teams by maintaining end-to-end reporting… Show more Automated bidding processes and data flows by integrating Power BI with SQL (SSMS) and Python (Pandas, NumPy), improving system performance and efficiency by 15% while eliminating 10+ hours of manual effort weekly.Developed and optimized Power BI dashboards using DAX and Power Query, providing actionable freight and sales insights that increased sales by 10% and cut shipping costs by 12%.Streamlined reporting for cross-functional teams by maintaining end-to-end reporting solutions, leveraging advanced Excel techniques to boost operational efficiency by 20% and report accuracy by 25%.Led the migration of Power BI dashboards to Power BI Report Server, configuring ETL workflows and scheduling refreshes to ensure system compatibility and reduce reporting downtime by 30%. Show less

Conducted data analysis in the BFSI domain using Power BI, DAX, Power Query, and Power BI Service to identify critical scenarios and develop performance test cases for quality assurance.Analyzed customer banking data with Oracle SQL and DB Visualizer, uncovering cost-saving opportunities that led to a 15% reduction in operational expenses and 10% increase in profitability.Utilized Excel PivotTables and Charts to help businesses extract actionable insights from dashboards for… Show more Conducted data analysis in the BFSI domain using Power BI, DAX, Power Query, and Power BI Service to identify critical scenarios and develop performance test cases for quality assurance.Analyzed customer banking data with Oracle SQL and DB Visualizer, uncovering cost-saving opportunities that led to a 15% reduction in operational expenses and 10% increase in profitability.Utilized Excel PivotTables and Charts to help businesses extract actionable insights from dashboards for strategic decision-making.Streamlined credit risk evaluation with Python, using Pandas for data preprocessing, NumPy for calculating credit scores and risk metrics, and statistical analysis to forecast loan default risk. Show less