Daniel Helfenbein is an experienced data professional currently serving as a Senior Analyst at Wise since November 2022. Previously, Daniel worked as an Operations Data Scientist at Babylon from January 2019 to August 2022, focusing on projects such as demand and supply forecasting, wait time optimization, and user feedback modeling utilizing advanced techniques like time series modeling, natural language processing, and supervised learning. Prior to that, Daniel held the position of Associate Data Scientist at Reed Business Information from September 2017 to December 2018, where projects included customer attrition modeling and product misuse detection. Daniel's technical skills encompass Python, SQL, and various data visualization tools including Tableau. Education includes a Master of Science in Data Science from City St George’s, University of London, as well as BA (Hons) degrees in International Management and Business Studies from the University of Hertfordshire and HSB Hochschule Bremen, respectively.
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