Data Science Intern
Littleton, Colorado, United States
- Implemented statistical analysis techniques such as t-tests and ANOVA to optimize thermocouple placements for molten glass temperature control, leading to models adopted by the team for ongoing testing aimed at.
- Analyzed high-frequency process data from a new camera system, developed a linear regression model for testing and eventual deployment of autonomic blade indexing, aiming to reduce excessively long fibers and enhance.
- Presented project insights and broader impacts to 20+ cross-functional leaders, using data visualizations to aid in effectively communicating complex information to a non-technical audience.