- Development of preference-based product recommendations feature- Evaluation and roll-out of transformer-based DL recommender- Discount voucher and content personalisation- Product and image content tagging using language vision models (CLIP, RAM, etc.)

- Session-based PLP recommendations- Lead development of personalised product recommendations feature- Development of holistic and automised recommender evaluation framework to automise and speed up model evaluations- Development of backend A/B testing solution- Stakeholder and cross-team alignment as interim Product Owner (collaboration with business and tech stakeholders, solution architects, creation of engineering backlog and prioritisation)

- Unsupervised behavioural consumer segmentation and profiling considering cross-channel interactions- Consumer Lifetime Value modelling- Designed and conducted an international consumer survey to enable a connection between survey responses and behavioural consumer data points- Represented Data Science in global pricing university workshop