By Alejandro Correa Bahnsen, Chief Data Scientist

Alejandro Correa Bahnsen is part of Easy Solutions’ Research organization. In this role, Alejandro spends his time on the application of data science to Easy Solutions’ products to ensure our company continues to offer the most advanced and effective fraud prevention solutions. Alejandro holds a Ph.D. in machine learning from Luxembourg University.

Cost sensitive predictive analytics

Evaluating a Fraud Detection Using Cost-Sensitive Predictive Analytics

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A credit card fraud detection algorithm consists in identifying those transactions with a high probability of being fraudulent based on historical fraud patterns. Read more

Feature Engineering for Fraud Detection

Feature Engineering for Fraud Detection Models

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As cybercriminals are constantly updating their strategies to avoid being detected, traditional fraud detection tools, such as expert rules, are less effective as Read more

Fraud Detection with Advanced Outlier Detection Algorithms

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Online fraud costs the global economy more than $400 billion, with more than 800 million personal records stolen in 2013 alone. Increasingly, fraud has diversified to different digital channels, Read more

data scientist

Hello! Let Me Introduce Myself

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As one of the newest employees at Easy Solutions, I’d like to take this opportunity to introduce myself. I am joining the Company as a Data Scientist. Before becoming part of Easy Solutions, I spent my time working at SIX Financial Services Read more