Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
David Dogon

David Dogon
Lead Data Scientist, Van Lanschot Kempen

David Dogon is a member of the data science team at Van Lanschot Kempen, where he primarily focuses on investments and asset management. David is driven by an interest in the insights and predictive power from data. A bit of an adventurer, he has performed research toward a PhD degree in mechanical engineering at TU Eindhoven in the Netherlands, holds a master’s degree in mechanical engineering from Columbia University in New York, and holds a bachelor’s degree in chemical engineering, which he completed in Cape Town, the same city where he was born.

Sessions

14:0514:45 Wednesday, 1 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 15/16
Alun Biffin (Van Lanschot Kempen), David Dogon (Van Lanschot Kempen)
Average rating: ****.
(4.45, 11 ratings)
Alun Biffin and David Dogon explain how machine learning revolutionized the stock-picking process for portfolio managers at Kempen Capital Management by filtering the vast small-cap investment universe down to a handful of optimal stocks. Read more.
11:1511:55 Thursday, 2 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 14
David Dogon (Van Lanschot Kempen)
Average rating: ****.
(4.75, 8 ratings)
David Dogon dives into a best practice use case for detecting fraud at a financial institution and details a dynamic and robust monitoring system that successfully detects unwanted client behavior. Join in to learn how machine learning models can provide a solution in cases where traditional systems fall short. Read more.