A senior consultant on testing data science models, business intelligence and ethical, explainable AI.

Laveena Ramchandani traces her path from a computer science degree into business intelligence, then automation on the TfL project, and now testing data science and machine learning models. She emphasises collaborating across teams as a quality ambassador, planting seeds so quality ideas grow, and pairing with data scientists to understand what an algorithm achieves and its business value rather than doing the maths herself. She and Jonathon discuss anonymising data sets, testing from the user's perspective, explainable AI and bias, and testers' emerging social and ethical responsibility to ask hard questions. Other themes include shift-right, self-healing systems, offline-capable apps and the value of brave, peer-to-peer learning.

**In this episode:**

**Guest:** Laveena Ramchandani — Senior Test Consultant, Deloitte  

> “Questions are super important. Ask as many as you want. Be the annoying person in the room, it doesn't matter. The more you ask, the more you get.”

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