CHARAN GORE

Fraud Detection & Prevention Analyst

• Led critical fraud pattern analysis across large-scale datasets, identifying complex money order fraud schemes resulting in significant risk mitigation

• Collaborated with Business Analytics team to enhance Machine Learning detection rules, reducing false negatives and preventing potential financial exposure

• Spearheaded account enforcement decisions through expert analysis, executing crucial actions including fraud flagging, account sanitization, and implementing strategic holds

• Reduced financial exposure through enhanced pattern recognition and timely ML rule modifications

• Managed the end-to-end fraud investigation process, from pattern identification to enforcement action, handling $2 million in transaction volume per month.

• Pioneered automated detection methods that improved fraud identification accuracy by 98.5%.

Project: Rakuten Card Fraud Prevention (Japan)

• Led an investigation that uncovered a major identity theft fraud pattern through the analysis of order velocities and payment behaviors. • Identified a fraud scheme utilizing leaked credit card data affecting Japanese market transactions. • Designed and implemented a real-time detection rule using Hubble query, preventing further fraudulent activities.

Other Projects-

AMAZON PAY investigation in EU,FE,NA regions, Terrorist financing, phishing attack, Detecting money laundering by creating fake seller and buyer profile