Apply machine learning methodology and data science/analysis skills for Anti-fraud strategiesFocus on Corporate Risk - sanctions & compliance risk, anomaly detection, NLP topic modeling, APIs real-time-decision.

Implement ML Solutions in identify fraud for Zoom flagship products.Primarily focused on end-to-end risk fraud modeling, engineering troubleshooting, data manipulation and transformations.

Exploring threat detection / UEBA in Big Data ECO- Anomaly Detection- Data Mining & Clustering- User Behavior Analysis and Prediction- Risk Score Modelinghttps://www.mcafee.com/enterprise/en-us/threat-center/mcafee-labs.html

- Designed and implemented an anomaly detection system to identify dynamic cyber risks such as money fraud and account takeover. The system Improved the alerting system’s precision by 60% and went into production.- Forecasted global payment volumes for 67 countries by building a machine learning model to mitigate millions foreign currencies exposure on the market. Accelerated and automated the business process on global money injection.