Focused on using data to drive results, I improved sales forecasting accuracy by 10% and reduced excess inventory by 8%, saving $50K in storage costs. By enhancing customer demographic KPIs, market segmentation improved by 40%, boosting stakeholder satisfaction. My insights through Amazon QuickSight cut costs by 47% and increased efficiency by 33%. Additionally, CRM strategies using ServiceNow reduced customer churn by 50%, while Salesforce optimizations improved user experience by 18%. Streamlined reporting processes further increased efficiency by 15%, delivering faster, more accurate data-driven decisions.

Led data analysis for healthcare clients using Alteryx, uncovering key trends that improved data reporting accuracy by 35%. Automated data processes with macros and scripts, increasing processing efficiency by 19% and cutting manual errors by 25%. Leveraged Python and Pandas to handle large datasets, boosting retrieval speed by 35% and reducing query times by 20%, leading to faster business insights. Improved data reliability by 60% and reduced system errors through complex data flow analysis using Apache Spark and Python. Designed interactive dashboards in Tableau and Power BI, decreasing report generation time by 19% and enhancing KPI monitoring accuracy by 25%.