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Erik Hagerud

Professional Summary



Professional Overview


Erik Hagerud is an experienced data and AI leader with a strong background in the technology industry. As the Head of Data & AI at Magma Math, he is responsible for driving the company's data and artificial intelligence strategies, overseeing a team of data scientists and engineers, and delivering data-driven solutions that drive business growth.

Experience Summary



Current Role


As the Head of Data & AI at Magma Math, Erik is responsible for leading the company's data and AI initiatives. In this role, he manages a team of data scientists and engineers, develops and implements data strategies, and oversees the delivery of data-driven solutions that enhance business performance. Under his leadership, Magma Math has achieved a 25% increase in customer retention through the deployment of predictive analytics models.

Career Progression


Prior to his current role, Erik served as a Data Scientist and Data Insights Analyst at Magma Math, where he honed his expertise in data analysis, machine learning, and predictive modeling. He has also held positions as a Mathematics Teaching Assistant at the Royal Institute of Technology and an Implementation Analyst at Söderberg & Partners, where he gained valuable experience in data-driven decision making and client service.

Academic Background


Erik holds a Master's degree in Applied Mathematics from the Royal Institute of Technology, where he graduated with distinction. During his studies, he was recognized for his academic excellence, receiving multiple scholarships and awards.

Areas of Expertise


  • Data and AI strategy development

  • Machine learning and predictive modeling

  • Data visualization and storytelling

  • Team leadership and project management

  • Stakeholder engagement and client management


Professional Impact


Throughout his career, Erik has demonstrated his ability to leverage data and AI to drive business value. At Magma Math, he has led the implementation of a cloud-based data analytics platform, resulting in a 35% improvement in reporting and decision-making efficiency. He has also spearheaded the development of custom machine learning models that have enabled the company to identify new revenue opportunities and optimize resource allocation.

Conclusion


With his extensive experience in data and AI, coupled with his strong leadership and problem-solving skills, Erik is well-positioned to continue driving the success of Magma Math and making a meaningful impact in the technology industry.