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Research Seminar: Behind the Scenes in Building Data Products

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Speaker: Dr. Alejandro Correa Bahnsen, Easy Solutions
Event date: Thursday, 28 September 2017, 14:00 - 15:00
Place: Room E004, JFK Building
29 Avenue J.F. Kennedy
L-1855 Kirchberg

We’re used to hearing the story that data science requires a broad set of multidisciplinary skills, ranging from machine learning and computer science to business. So how does that translate to data products? Well, it's complicated. Successful data products require more than just having data, the right algorithm, and good implementation.

In this talk, I will share my experiences in building data products for information security, and how issues such as data quality or hyper-parameter selection are not as important as having a clearly defined customer. As I found out the hard way, having an isolated data science team is a recipe for failure. Successful data products require strong and consistent communication between the development, marketing, sales and upper management teams.

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.