Applications of Data Science

MLOps community meetup #96! On March 9, we will be talking to Connie Yang, Lead Data Scientist of Pallet, about Applications of Data Science.

// Abstract:How do we effectively integrate and utilize data science in mature engineering and business systems? Connie is going to talk about her experience in how this can be done, drawing from both experiences in Big Tech and leading the data efforts at an early-stage tech startup.

// Bio:At Pallet, Connie has been leading various data science work streams on integrating machine learning, intelligence, and automation into the entire Pallet product--including creating multi-label, multi-class auto-labeling machine learning models deployed as a cloud-native API to be integrated into their backend (to optimize labeled data throughout) to creating a holistic, developing the methodology for and then creating a diagnosable Pallet health score for various stakeholders, and scaling out Pallet's backend data collection system.