• Developed and productionalized a counterfeit detection tool using the Dash framework, Scikit, and Pandas for Cisco’s switches which parsed 5000+ product log files to identified likelihood of counterfeit product
• Boosted the productivity of 10000 members of Cisco’s Brand Protection and Failure Analysis teams by 100% to combat the $1 billion of revenue lost to counterfeiters annually by providing a PCA-based visualization of telemetry data
• Led a team of 5 interns to win first place among Supply Chain interns at a case competition by providing a ML-backed customer-centric weighted decision matrix to mitigate field-related failures, improving current models by 500%
• Recognized for my “innovative efforts” through an offer to extend my internship throughout the school year and with Cisco’s connected recognition award