explain

app.py

@@ -296,8 +296,9 @@ ML Observability
 
 
 **Data Validation:**
-- Led data validation for a new data source using covariate shift and recall methodology for legacy models.
+- Led data validation for a new data source using covariate shift and recall methodology for legacy models with circuit breaker pattern with notification.
 - Ensured consistency in feature transformation between dev and prod environments.
+- Monitor prediction distribution with precision, recall metric.
 
 **Unit Testing/Acceptance Testing:**
 - Led unit testing for models, identified logical errors, and improved campaign lift by 50% for small businesses.
@@ -308,6 +309,7 @@ ML Observability
 **File/Log Mining:**
 - Led server observability, leveraging event journey maps to understand server downtimes.
 
+**
 **Root Cause Analysis:**
 - Proficient in employing Six Sigma methodology to trace root causes with established metrics.
     """)