Data Scientist
Designed a novel, data science approach to cartonization that removed 182 million cubic inches of unused carton volume yearlyUtilized unsupervised clustering models to design and implement a cartonization report card for use in evaluating current and future cartonization algorithmsUtilized supervised machine learning techniques to derive most important key characteristics of fraud at the company to simplify fraud detection processDesigned and deployed an automated fraud detection report (based on the above characteristics) that sped up the process of identifying possible fraudulent orders by an additional 100%