What Success Looks Like (Objectives)

• Refinement of key performance indicators through the maintenance of AI/ML frameworks that aggregate system logs for predictive health monitoring
• Visualization of deployed AI/ML model performance via sophisticated Tableau dashboards that provide stakeholders with transparent and accurate insights
• Implementation of optimized data workflows to eliminate bottlenecks and ensure seamless scalability for model training and deployment
• Translation of complex machine learning outputs into clear business summaries that drive strategic product and operational improvements
• Execution of data-driven investigations using anomaly detection to surface and address immediate friction points in the customer journey 
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