• Spearheaded cross-functional workshops to define business requirements, ensuring 100% alignment with stakeholder objectives and successfully launching three key initiatives.• Redesigned business processes with automation workflows, reducing manual intervention by 40% and cutting processing time by 30%, significantly improving team productivity.• Transformed business intelligence practices by creating dashboards in Tableau and Power BI, enabling real-time decision-making and increasing revenue by 15%.• Optimized data integration across CRM, ERP, and cloud platforms, enhancing data accessibility by 40% and improving reporting timelines.• Introduced predictive analytics to identify business trends, reducing operational expenses by 10% and improving forecasting precision by 20%.• Led the successful implementation of automation tools like Apache Airflow, cutting the ETL cycle time by 50% and delivering faster, more accurate reports to executives.

• Streamlined business operations by identifying inefficiencies and recommending improvements, contributing to a 20% increase in operational performance across key departments.• Designed a customer churn prediction model, improving retention by 10% and enhancing targeted marketing, leading to a 15% increase in customer lifetime value.• Migrated legacy data systems to Snowflake, improving data retrieval speeds by 45% and supporting more timely decision-making across teams.• Launched real-time Power BI dashboards, enabling executives to respond to key metrics within 10 minutes, reducing response time by 25%.• Engineered automated data pipelines, reducing processing time by 30% and providing faster, more reliable data insights for strategic planning.• Optimized cost structures by collaborating with cloud teams to reduce cloud storage expenses by 15%, allowing better budget allocation for future technology investments.