Wrangled connected industrial data, including 1000+ of sensors, billions of data points, work orders, log entries, in Cognite Data Fusion using Python SDK and SQL.

Prototyped and deployed addictive regression models using Prophet and Ruptures for time series segmentation, seasonality analysis, and anomaly and change point detection.

Developed a prototype service for bird detection using CNNs computer vision algorithms in YOLO and OpenCV.

Designed and delivered engaging technical demos of prototype services in 3 stakeholder meetings.