Person

Polina Mosolova

Polina Mosolova's DataTalks.Club podcast discussions, organized for topic exploration.

Polina Mosolova

Background

I am a data scientist at SAP, passionate about bringing the full potential of current machine learning research to business applications. I am interested in creative combinations of statistical and machine learning methods for use cases addressing real-world problems. In my PhD dissertation, I created an applied machine learning framework for churn prediction, enhanced by organisational trust theory and explainable machine learning methods.

Podcast Discussions

• Build Explainable and Actionable AI/ML Systems: Industrial PhD, Trust Theory & Production Deployment. Discussed: Episode Introduction & Overview; Guest Introduction: Polina Mosolova — Industrial PhD and Churn Prediction; Career Journey: Industrial PhD to Full-Stack Data Scientist at SAP; Role Evolution: From Full-Stack Data Scientist to MLOps Specialization. Related topics: machine learning, AI, MLOps, explainable AI, interpretability.