2022-05-27 –, PyData Room
Building end-to-end ML systems can be challenging, especially when it's part of a complex user experience in a health app. This is a story of how a user-focused mindset and product thinking helped Flo Health to build the best ML powered cycle predictions on the market.
Flo Health is the no. 1 female health app in the world. One of the core ML tasks for us is the "cycle start date" prediction problem. During the talk I'll share the difficulties we faced, the learnings we gathered and how important and helpful it might be to always think about the end users of the system you build.
data science, machine learning, best practices
Machine Learning Engineer at Flo Health
Originally from Belarus, currently living in Vilnius, Lithuania
I love making people happy with the help of data:)