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Feature Stores at Tide

Posted Mar 28
# Feature Stores
# Production Use Case
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SPEAKER
Hendrik Brackmann
Hendrik Brackmann
Hendrik Brackmann
VP of Data Science and Analytics @ Tide

After studying probability theory at the University of Oxford, Hendrik joined MarketFinance, an SME lender, in order to develop their risk models. Following multiple years of learning, he joined Finiata, a Polish and German lender in order to build out their data science function. Not only did he succeed in improving the risk metrics of the company he also learned to manage a different department as interim Head of Marketing.

In his current job as Director of Data Science and Analytics at business bank Tide, Hendrik oversees data engineering, data science, insights and analytics, and data governance functions of Tide.

In his free time, he enjoys playing squash and chess.

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After studying probability theory at the University of Oxford, Hendrik joined MarketFinance, an SME lender, in order to develop their risk models. Following multiple years of learning, he joined Finiata, a Polish and German lender in order to build out their data science function. Not only did he succeed in improving the risk metrics of the company he also learned to manage a different department as interim Head of Marketing.

In his current job as Director of Data Science and Analytics at business bank Tide, Hendrik oversees data engineering, data science, insights and analytics, and data governance functions of Tide.

In his free time, he enjoys playing squash and chess.

+ Read More
SUMMARY

After a brief introduction to Tide, we'll talk about the challenges Tide faced to quickly productionize models, how we decided to move forward with a feature store and how this interacts with rules based engines.

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# Feature Stores
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# Data engineering
# Feature Stores
# Open Source
# Production Use Case
# Systems and Architecture