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.
- 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.
- 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