Fraud Risk Analytics (Excel & AI based tools) and Prevention

Editorial course preview

What the public course preview actually shows

These 3 complementary views highlight concrete, legible examples from the course presentation.

A presentation slide titled 'CONTENTS' listing a curriculum on fraud risk analytics, including sections on understanding fraud, detecting fraud with Excel tools and Benford Law, AI — Preview 1 of 3
This contents slide outlines the course structure, covering topics such as understanding fraud characteristics, detecting fraud using Excel-based tools like Benford Law, and implementing prevention strategies.

A presentation slide titled 'COST OF FRAUD' featuring a diagram with a central grey circle labeled 'Financial Impact of Fraud' surrounded by six colored circles listing costs like: — Preview 2 of 3
This diagram illustrates the financial impact of fraud, breaking it down into direct losses, legal and investigation costs, employee expenses, customer dissatisfaction, and reputational loss.

A professional resume slide for Govind Kumar detailing his education, core competencies in AI and Data Science, experience summary including roles at Hewlett Packard and SeaportAI, — Preview 3 of 3
This detailed resume slide outlines the professional background of Govind Kumar, highlighting his expertise in fraud prevention, AI product development, and leadership roles.