Data Scientist
Current• Extracted and vizualized test data to derive insight to historical performance and predictive trends, allowing engineers to preemptively act and justify engineering design changes instantly instead of for weeks using python and plotly• Performed market research, lead, and developed a production-line-agnostic and scalable statistical tool to remove waste in manufacturing test procedures and provide statistical insight and actionable engineering proposals• Constructed a Darknet computer vision pipeline for real-time aerial object detection and tracking using Docker, Kubernetes, MLFlow, and Argo• Lead and co-developed an ML pipeline to predict and automate radio frequency tuning based on human tuning data using postgresql and python• Developed notebooks and dashboards that continue to offer insight into manufacturing processes and automate manual software processes