omni:us
Theresa Seidl is a skilled Data Scientist currently employed at omni:us, where advanced statistical methods and machine learning algorithms are utilized to derive insights from complex claims data in the insurance sector. With an Advanced Master in Artificial Intelligence from KU Leuven, Theresa has expertise in machine learning, natural language processing, and data mining. Previous roles include Data Analyst at VEACT GmbH, Consultant at Reply, and Product Manager at UnternehmerTUM, showcasing a strong background in data modeling, ETL processes, and product development. Education credentials include a Master of Science in Business and Informatics from the Technical University of Munich and a Bachelor of Science in International Business Administration from Universität Passau, complemented by studies in Brazil and Spain.
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omni:us
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omni:us is the leading provider of intelligent insurance claim automation. The omni:us Digital Claims Adjuster enables seamlessly integrated end-2-end claims automation within existing insurance core systems & legacy applications. Integrated reference claims processes for relevant property and casualty lines of business, as well as a comprehensive, AI-powered claims decision catalog, help reduce process costs by up to 35 percent - while noticeably increasing customer satisfaction and efficiency.