Mohammad Azim is a Data Architect at Morgan Stanley with nine years of experience turning analytic models into robust data infrastructure. He holds an MS in Data Science from Fordham University and progressed from data science roles at First Derivatives to architecting enterprise data solutions in New York. Comfortable at the intersection of economics, computer science and business, he pairs quantitative rigor with practical production engineering. Early roles in analytics and client services give him a pragmatic perspective on stakeholder needs and operational reliability. He values bridging research and production—having moved from academic research assistance into high‑scale financial data environments.
9 years of coding experience
4 years of employment as a software developer
6 credits towards a Master of Science (MS), Applied Economics, 6 credits towards a Master of Science (MS), Applied Economics at Johns Hopkins University Advanced Academic Programs
Bachelor's degree, B.A. in Economics with Minors in Computer Science and Business, Bachelor's degree, B.A. in Economics with Minors in Computer Science and Business at LIU Post
Master of Science (MS), Data Science, Master of Science (MS), Data Science at Fordham University Graduate School of Arts and Sciences
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