SKF AI department focus is on Anomaly Detection and Prediction for Predictive Maintenance. Being part of the Automation team, I scaled the processing pipeline to millions of machines streaming high-density time series sensor data. I was also solely responsible for the research into novel methods of Outlier Detection and Hyperparameters Optimization.

Being part of the Personalization team, my focus was to provide users with targeted cash-back so as to increase brand loyalty or secure a potential buy from a certain category. I also did research into merchant-to-user and user-to-merchant recommendation systems.