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Amit Chandna is a Senior Data Scientist and Machine Learning Engineer at Mastercard, where they focus on building production-grade ML systems for fraud detection at scale. They have over five years of experience in end-to-end machine learning and have previously held roles as a Software Engineer at Purpose Advisor Solutions, a Business Intelligence Manager at SCOPEinsight, an Agronomist at Karibu Agrology, and a Graduate Student Researcher at the University of Copenhagen. Amit is currently pursuing a Master of Science in Agricultural Development while also enrolled in a Data Science Immersive program at General Assembly and holds a Bachelor's of Science in Applied Biology from The University of British Columbia. Their expertise spans data engineering, data science, and business intelligence, leveraging tools like Python, TensorFlow, and PostgreSQL to transform data into actionable insights.