Altamash Rafiq is a Senior Data Scientist specializing in machine learning with eight years of experience applying predictive modeling and production-ready ML systems across cybersecurity and financial services. Based in Cincinnati, he currently builds models at Proofpoint to keep organizations safe online after progressing from hands-on credit decisioning systems at 2nd Order Solutions. His background spans end-to-end analytics—feature engineering in PySpark/SQL, model development with gradient boosting, and deploying practical tooling—paired with teaching and mentoring roles at Duke where he shaped fraud-analytics curriculum. He has a multidisciplinary academic foundation from Duke and study at Oxford, and an appetite for building data products that translate complex signals (including pandemic-era shifts in credit behavior) into actionable, stress-tested decisions.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science, Statistical Science and English, Bachelor of Science, Statistical Science and English at Duke University
British Victorian Literature, British Victorian Literature at University of Oxford
Master of Science, Interdisciplinary Data Science, Master of Science, Interdisciplinary Data Science at Duke University Graduate School
High School, O-level & A-level, High School, O-level & A-level at Lahore Grammar School Johar Town
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