Soomin Kim is an accomplished Data Scientist currently at Adyen, specializing in the development and maintenance of critical solutions for the Revenue Protect Scripted Attack Model team since February 2023. Key responsibilities include building and maintaining ML pipelines, writing ETL processes, and implementing automatic data analysis for faster identification of scripted attacks. Previously, Soomin worked at ING from April 2020 to January 2023, focusing on user needs through data science models, model deployment, and various NLP applications within a product development team. Soomin's experience also encompasses data analytics internships at PwC and academic contributions as a teaching assistant in econometrics. Educational qualifications include a Master’s degree in Econometrics from Erasmus School of Economics and a Bachelor's degree in Global Economics from Sungkyunkwan University.
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