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Ravi Anand

Ravi Anand

Principal Data Scientist at Microsoft; GNN fraud-detection expert

ravi-anand-1580
Bengaluru, Karnataka, India
Joined March 2026
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Summary

Applied data science leader with a multi-industry track record: Ravi has progressed from manager-level data science roles at Citi and Morgan Stanley to leadership positions at Gojek (GoTo Group), Angel One, and Microsoft, indicating broad experience in building and operating data science teams across fintech and platform companies. weekday+1
Expertise in graph neural networks for fraud detection: Ravi is a co-author of GoSage, a heterogeneous GNN using hierarchical attention designed to detect collusion and syndicate fraud, and has contributed to both the conference paper and an engineering blog post describing its deployment and impact. acm+2
Technical leadership culminating in a Principal role at Microsoft: Public profiles list Ravi's recent progression through senior data science management and director roles, culminating in his current Principal-level position at Microsoft. weekday

Work

Education

Projects

Writing

GoSage: How We Detect Fraud Syndicates at Gojek with Graph Neural Networks

December 1, 2024

Engineering blog post summarizing GoSage, its multi-level attention GNN design, and the practical impact of using graph models to surface collusion fraud on a large platform.

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GoSage: Heterogeneous Graph Neural Network Using Hierarchical Attention for Collusion Fraud Detection

November 1, 2023

Conference paper describing GoSage — a heterogeneous GNN with hierarchical attention to detect collusion and fraud in platform/service networks; includes architecture, training approach, and evaluation at scale.

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