Summary
Garima Arora is a data science leader with 9 years of experience, currently directing data science initiatives at Mastercard where she builds AI-driven fraud and compliance solutions. She has led end-to-end products that materially reduced fraud losses, improved approval rates, and generated $23M in revenue by translating research into production-grade systems. Her technical strengths span statistics, deep learning, graph techniques and scalable pipelines—she’s shipped models for AML detection, EMV chip failure prediction, and GenAI-driven risk detection at network scale. Earlier, she co-founded a technology-enabled hygiene platform that attracted 50K+ users and earned national recognition, demonstrating her product instincts and growth acumen. Comfortable operating between engineering, analytics and business stakeholders, she combines hands-on model development with measurable business impact. Based in Gurugram, she brings a founder’s curiosity to enterprise risk problems, often applying unconventional data signals (e.g., location intelligence and transaction velocity) to detect subtle threats.
9 years of coding experience
7 years of employment as a software developer
PGDBA, Business Analytics, PGDBA, Business Analytics at Indian Institute of Management, Calcutta
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Delhi College of Engineering
English, Hindi, Punjabi