• Using data analytics for operational decisions
• Regression, hypothesis testing, control charts
• RPA (Robotic Process Automation) opportunity identification
• Process mining and performance analytics
• Prioritizing improvement initiatives for impact
• Building a project pipeline and governance structure
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