● Built model evaluation and KPI reporting pipelines for the Call Guardian spam detectionalgorithm used in over 50 million Verizon devices.● Resolved ETL and class mapping issues in the evaluation pipeline resulting in a 10% decrease infalse positives.● Fully developed an in-house caller verification application and REST API leveraging generativeAI agents and web scraping, obviating a commitment to a $700,000 contract with an externalservice provider.● Developed and deployed A/B testing workflow to compare and monitor performance of differentmodel architectures leading to a 15% increase in monthly average recall.● Interviewed candidates to backfill the Data Analyst position through original technical andbehavioral exercises.● Delivered trends in classification error metrics and confusion matrices to key business partners to demonstrate model performance in a business context.● Wrote MLOps infrastructure via Docker and Terraform to facilitate container deployment andlibrary dependencies within our AWS applications.

● Initiated the transition of reporting from static Excel reports to interactive, live Tableaudashboards● Processed and analyzed an inflow of roughly 6 million daily customer call events.● Report continuous analysis of new data directly to the VP of Product in order to identify andengage upon new revenue streams and business partnerships, leading to a 74% increase inmonthly product revenue.● Created living documentation for automated EDA, data manipulation and visualizationprocesses through SQL and Python wrappers.