Bahar is a data scientist at Heylist, where she works on the AI and machine learning that sits underneath the platform: forecasting models, retrieval-augmented generation systems and multimodal search that lets brands find creators by what their content actually looks like, not just how it is tagged.

A Polytechnique Montréal alum based in Montreal, she works at the point where influencer marketing stops being intuition and starts being measurable. When Heylist writes about what campaign data really shows, Bahar is one of the people who can say so with the numbers to back it.