Kimi Ylilammi is a full-stack data scientist based in Helsinki with 10 years of experience turning messy data into actionable products and predictive analytics. Comfortable across R, Python, SQL and production stacks (Node.js, C++), he combines deep quantitative skills with business-facing delivery—having shipped analytics solutions for clients across healthcare, finance, gaming and enterprise at firms like Avaus/Siili and Google. He’s a pragmatic consultant and freelancer who adapts quickly to new industries and tools, mining “diamonds” from survey, CRM, medical and big-data sources. Early roles at CERN and game studios sharpened his systems and visualization instincts, so he frequently pairs statistical models with usable dashboards and interactive visualizations. Notably, his master’s thesis on churn modeling seeded a consulting career focused on turning academic techniques into real-world impact.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Systems Sciences, Bachelor's degree, Systems Sciences at Aalto Yliopisto
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