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## Time & Location

16 Oct 2024, 18:30 – 22:00
Design Offices Ostbahnhof, Lange Str. 32, 10243 Berlin, Germany

## About the event

This evening's host and moderator is Dr. Kristian Rother, a Principal Data Scientist, Teacher, and Trainer.

## Agenda

18.30 - Welcome and Drinks: Doors open on Lange Str. 32 (side entrance to Design Offices Ostbahnhof)

19.00 - Building a usable big data platform is hard. How we made it with Pavel Yakunin, Principal Engineer and Data Architect, Global Foreign Exchange at Deutsche Bank Berlin Technology Centre.

19.45 - Panel on How to navigate data policies and platforms in highly regulated markets with Dr. Anjishnu Bandyopadhyay (Lead Data Scientist for Anti-Fincrime/Fraud) and Rachel Brochado (AI Product Manager Data and ML, Kertos). Moderated by Kristian Rother.

20.30 - Dinner with Tapas and Finger Food (to 22:00)

22.00 - Doors close

About Deutsche Bank Berlin Technology Centre
The Berlin Technology Centre is a brand-new and fast-growing technology hub for Deutsche Bank. It mainly supports Deutsche Bank's Investment and Corporate Banking and is one of five strategic global TC locations across Europe, Asia, and the US. 1,500+ engineers belong to the Berlin Tech Centre. Diversity in nationality, gender, and background is a key success factor at Deutsche Bank.
Explore opportunities and #SwitchToBanking.

Pavel Yakunin is the Principal Software Engineer and Data Architect at Deutsche Bank Global Foreign Exchange tribe. He began his career in physics, earning a PhD in quantum optics. Subsequently, he transitioned to software and fintech, working chiefly with data and statistical systems. In 2017, Pavel became the lead engineer on a project to build a divisional data platform for Deutsche Bank Foreign Exchange from scratch. As the platform grew, Pavel assumed responsibility for the platform's product direction and data architect role.

About The AI Guild

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  2. With accreditation, members set the highest standards in AI, covering 13 critical areas of professional practice.
  3. We support companies deploying data analytics and machine learning.
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