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Sami-Matias Niemi
VP - Managing Data Scientist at Barclays

Profile

Dr Sami Niemi has been working on Bayesian inference and machine learning over 10 years and have published peer reviewed papers in astrophysics and statistics. He has delivered machine learning models for e.g. telecommunications and financial services. Sami has built supervised learning models to predict customer and company defaults, 1st and 3rd party fraud, customer complaints, and used natural language processing for probabilistic parsing and data linking. He has also used unsupervised learning in a risk based anti-money laundering applications. Currently Sami works at Barclays where he leads a team of data scientists developing fraud detection models, credit risk models, and manages the UK fraud models.

Agenda Sessions

  • Implementing Machine Learning Models for Real-Time Transaction Fraud Detection

    12:40