Frida Rimark is an experienced professional in data science and analytics, currently serving as an Engineering Manager and Senior Data Scientist at H&M Group since September 2019, where responsibilities include enhancing recommendation engines for customer relevance in fashion products. Previous roles include Senior Data Scientist and Consultant at Acando, focusing on machine learning and data exploration from April 2018 to July 2019, and Data Scientist at Bisnode Sverige, applying machine learning in retail, insurance, and banking sectors from September 2015 to March 2018. Frida also contributed as a Data Analyst at HUI Research, leading statistical projects for retail and tourism, and as a Research Assistant at the Swedish Life Cycle Center, developing econometric models. Frida holds a Master's degree in Economics with a specialization in Industrial Economics from the University of Gothenburg, along with additional studies in Psychology and Economics at various institutions.
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