Riku Tikkanen
I am Riku Tikkanen, a Data Scientist and Software Engineer based in Helsinki, Finland.
About
I am Riku Tikkanen, a Data Scientist and Software Engineer based in Helsinki, Finland. I lead the development of a digital health platform, including a patient-facing app, a web-based clinician dashboard, and AI-powered patient selection tools. I design system architectures and data handling with careful attention to medical software standards and regulatory compliance, collaborating with clinical experts and AI specialists to build user- and patient-centered solutions.
I enjoy guiding UX design, prototyping, and applying machine learning to real-world problems while keeping data pipelines reliable and code clean. I thrive in lean startup environments, focusing on usability, scalability, and delivering actionable insights through robust analytics.
- 11 years' experience
- Joined October 2025
Skills· 15
Languages
- FinnishFluent
- GermanAdvanced
- EnglishFluent
- SwedishIntermediate
Industry experience
- Healthcare
- Software & Internet
- Life Sciences
- Professional Services
- Education
- Other
Work experience· 7 roles
Contributed to the development of analytics features for Garmin smartwatches by analyzing physiological and behavioral data. Collaborated on R&D projects with academic partners. Applied statistical analysis and signal processing techniques to extract health and performance insights.
Leading the development of Ankerias' digital health platform, including a patient-facing app, web-based clinician dashboard, and AI-based patient selection tool. Designing system architecture and data handling with attention to medical software standards and regulatory compliance. Collaborating with clinical experts and AI specialists to ensure development aligns with user and patient needs. Guiding UX design, prototyping, and applied ML efforts focused on clinical usability and scalability in a lean startup environment.
Processed and analyzed large-scale physiological datasets to develop new analytics features for smartwatches. Applied Python-based data processing and statistical techniques to derive performance and health metrics.
Education
Certifications and awards
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