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Jesse He

Jesse is a Data Scientist and a founding member of the data science team at Uber Internal Audit. At Uber, Jesse seeks to push the boundaries of internal audit with his passion in learning and applying creative ML solutions to solve old and new problems alike. Prior to Uber, Jesse helped pioneer efficient data flow processes and create data-driven audit methodologies at EY West with the mentorship of Shan Huang and Yao Yang. Jesse obtained his Bachelor’s degree in MIS, Accounting and Finance from Purdue University, during which he also studied aeronautical engineering, aerospace management, and obtained his commercial pilot license.

Engineering Blog Articles

Applying Machine Learning in Internal Audit with Sparsely Labeled Data

As machine learning continues to evolve, transforming the various industries it touches, it has only begun to inform the world of audit. As a data scientist and former CPA Auditor, I can understand why this is the case. By nature, …