Dr. Alejandro Correa Bahnsen is the Chief Data Scientist at Easy Solutions. With a passion for Machine Learning, he considers himself a technology evangelist of Data Science. He has more than a decade of experience applying the use and development of predictive models to real-world issues such as cyber fraud, human resources analytics, credit scoring, churn modeling, and direct marketing.
In addition to advising the Easy Solution’s executive team and customers on unique fraud challenges, Alejandro manages the Data Science team, tests Big Data processing engines and researches the application of Deep Learning on electronic fraud prevention. He also creates and develops Machine Learning algorithms related to phishing detection, user identification, and malware prevention. He is constantly improving Easy Solutions’ products with Data Science and Artificial Intelligence capabilities.
Alejandro holds a PhD in Machine Learning and Pattern Recognition from Luxembourg University. He has published over 15 academic and industrial papers in noteworthy peer-reviewed publications. He also taught the following subjects on a university level: econometrics, financial risk management, Machine Learning, and Natural Language Processing.
Founded in 2007, Easy Solutions is a security provider focused on the comprehensive detection and prevention of electronic fraud across all devices, channels and clouds. Our products range from fraud intelligence and secure browsing to multi-factor authentication and transaction anomaly detection, offering a one-stop shop for end-to-end fraud protection. The online activities of over 115 million customers at more than 430 leading financial services companies, security firms, retailers, airlines and other entities in the US and abroad are protected by Easy Solutions Total Fraud Protection® platform.