MLOps Community
+00:00 GMT
Sign in or Join the community to continue

Real-time Feature Pipelines, A Personal History

Posted Jan 06, 2021 | Views 855
# Data Science
# Tide.co
Share
speakers
avatar
Hendrik Brackmann
Director 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 built out their data science function. Not only did he succeed in improving the risk metrics of the company he also learnt 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
avatar
Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

+ Read More
SUMMARY

Tide is a U.K.-based FinTech startup with offices in London, Sofia, and Hyderabad. It is one of the first, and the largest business banking platform in the UK, with over 150,000 SME members. As of 2019, one of Tide’s main focuses is to be data-driven. This resulted in the forming of a Data Science and Analytics Team with Hendrik Brackmann at its head. Let's witness Hendrik's personal anecdotes in this episode!

+ Read More

Watch More

48:16
On Juggling, Dr. Seuss and Feature Stores for Real-time AI/ML
Posted May 30, 2022 | Views 902
# Juggling
# Dr. Seuss
# Feature Stores
# Real-time AI/ML
# Redis.io
Real-time Machine Learning with Chip Huyen
Posted Nov 22, 2022 | Views 1.6K
# Real-time Machine Learning
# Accountability
# MLOps Practice
# Claypot AI
# Claypot.ai
Real-time Machine Learning: Features and Inference
Posted Nov 29, 2022 | Views 998
# Real-time Machine Learning
# ML Inference
# ML Features
# LinkedIn