Case Study: Fuzu boosts job recommendations with MindTitan

Fuzu - Customer Case Study

Fuzu, a Helsinki-based career platform for young East African professionals, wanted to improve user onboarding and engagement while reducing the number of questions new users had to answer. They partnered with MindTitan to use machine learning and NLP-powered document analysis for a more streamlined job-search experience.

MindTitan built a recommendation engine that extracts information from uploaded resumes and cover letters to classify skills, seniority, industry, and education level, then uses that data to personalize job matches and offers. The solution helped increase job application click-through rates by 30%, classify education level with 90% accuracy, and made Fuzu more data-driven while creating a foundation for future AI use cases.

Fuzu

Atte Keinänen

Head of Engineering