PyData Amsterdam 2023

Azamat Omuraliev

Azamat Omuraliev is a Senior Data Scientist at ING. Cracking the problem of personalization since joining ING in 2020! Decided to stay on this topic because it’s a challenge that requires getting many things right: constructing the right kind of machine learning model, staying in touch with customers and handling millions of interactions daily. Thanks to that, still learning something new on the job every single day.

Originally from Kyrgyzstan, moved to the Netherlands for studies but stayed for friends and for Amsterdam ❤️

The speaker's profile picture

Sessions

09-16
11:30
30min
Building true Machine Learning MVPs: Validating the value chain as a product data scientist
Azamat Omuraliev

Some say machine learning projects fail because they live in notebooks.

But I would bet that even more of them fail because their projects solve a problem that doesn’t exist. Or uses an interface that’s not feasible. In other words, they fail because they don’t validate their underlying assumptions.

Product analytics helps build models that solve real problems. In my time at ING, I’ve been dealing with a lot of the latter, and I’ll be sharing my thoughts on how to find problems worth solving with data science.

Bar