Summary
Mohammed Topiwalla is a Lead Data Scientist specializing in fraud prevention with nine years of experience building detection systems and driving analytics at Wise, where he progressed from Data Scientist to lead the Fraud Prevention Group. He blends technical rigor from an IT background with an MBA in Data Science to translate complex risk signals into scalable, production-ready models and product metrics. Known for moving quickly from hypothesis to measurable outcomes, he has deep domain expertise in transaction fraud, behavioral analytics, and operationalising models in high-throughput payment environments. Based in Stony Stratford, he pairs hands-on modelling and engineering experience with product sensibility, having started his career in software engineering and analytics across consulting and enterprise roles. An analytical generalist comfortable with both strategy and implementation, he often bridges data science, product, and engineering to reduce fraud loss while improving user experience.
9 years of coding experience
7 years of employment as a software developer
bsc Information Technology, bsc Information Technology at Narsee Monjee College of Commerce and Economics
Master of Business Administration - MBA Data Science, Master of Business Administration - MBA Data Science at Bologna Business School
PhysicsChemistry and Computer Science; Science and English, PhysicsChemistry and Computer Science; Science and English at R.D.National College of Science and Commerce
Post Graduate Diploma Data Analytics Big data, Post Graduate Diploma Data Analytics Big data at S P Jain School of Global Management
SSC, SSC at ST Stanislaus High School
English, Hindi, Gujarati, Italian