How I Stop Worrying and Love the Standartization / RUS
Sviridenko Nadezda, Senior Data Scientist, Raiffeisenbank
One day or another every Data Science team faces a great bunch of routine tasks. Typically DS work includes creating a scope of similar models exploiting the very same client data. Designing your first model is very fun, third model is just fun, twentieth model makes you think about existential problems.
There is no doubt that several ready-made solutions to automate monotonous fit-predict already exist, however none of them meets all our demands completely. So we had no choice but to design and implement yet another framework (called Siegfried as far as Raiffeisen is Vienna bank) with Bamboo, Spark and Airflow. The framework allows to design, compare, test, deploy ML models at short term of two weeks and also increases the bus factor from 1 to 1.42 Talk video