Modulai
Gustav Eklund's work experience begins with their role as a Machine Learning Engineer at Modulai, where they focus on developing machine learning solutions for companies in the retail and med tech industries. Gustav then worked as a Data Scientist at Advectas AB, where they completed various projects in industries such as retail, banking, manufacturing, and HRM. Prior to that, Gustav worked at IBM as a Technical sales and solutions specialist, supporting software sales in the Nordic region and providing technical expertise. Gustav also worked as a Summer Intern at Quintus Technologies, where they conducted research and built a framework for compression crack initiation in high-strength steel. Before that, Gustav worked as a Resort Guide at Nortlander Skitours and as a Laboratory assistant and Teaching assistant at KTH.
Gustav Eklund completed their Bachelor of Business Administration (BBA) degree in Business economics at Stockholm University from 2009 to 2014. Additionally, they pursued a Master of Science (M.Sc.) degree in Vehicle Engineering at KTH Royal Institute of Technology from 2008 to 2014.
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Modulai
Modulai delivers machine learning products and projects to selected clients, helping them to be even more successful in creating value from data.Modulai’s clients range from startups to multinational companies and they all have in common that machine learning is or could be central for how they operate, compete and create value. Services rangefrom advisory projects, feasibility studies to end-to-end development or refinement of machine learning systems and products. Modulai uses state-of-the-art techniques, always focusing on maximizing business impact, delivering solutions in areas such as credit risk, fraud detection, dynamic pricing, recommendation systems, opportunity spotting, logistics optimization, up-sell, cross-sales, smart building optimization, predictive maintenance and route planning.The team consists of machine learning engineers with a background and strong track record from some of Sweden’s most successful startups.