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Delina Ivanova
Delina Ivanova is Director of Data Science at Wealthsimple, where she leads experimentation across growth and investing. Her work spans experiment design, predictive modeling, personalization and the early signals that connect engagement to deposits and revenue. She is building toward systemic learning, uplift modeling and faster AI-assisted tests that help teams decide what to ship and where to invest.
Takeaways
All Takeaways
Pooling every past experiment into one view turns tests into a mega learning system for pricing, messaging and personalization
When a feature you believe in loses, check whether it is a messaging, targeting or experience problem, and design variants to find out
Combining 2 incentives in one message hides what you are trying to learn; decouple offers so each test isolates one outcome
