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

Sami Niemi
Vice President and Managing Data Scientist, Barclays

Sami Niemi is a vice president and managing data scientist at Barclays, where he leads a team of data scientists building fraud detection models and manages the UK fraud models. Sami has been working on Bayesian inference and machine learning for over 10 years and has published peer-reviewed papers in astrophysics and statistics. He has delivered machine learning models for telecommunications and financial services and built supervised learning models to predict customer and company defaults, first- and third-party fraud, and customer complaints, and used natural language processing for probabilistic parsing and matching. He has also used unsupervised learning in a risk-based anti-money-laundering application.


11:1511:55 Wednesday, 1 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 17
Sami Niemi (Barclays)
Average rating: ****.
(4.62, 16 ratings)
Predicting transaction fraud of debit and credit card payments in real time is an important challenge, which state-of-art supervised machine learning models can help to solve. Sami Niemi offers an overview of the solutions Barclays has been developing and testing and details how well models perform in variety of situations like card present and card not present debit and credit card transactions. Read more.