Summary
Karo Rönty is a Freelance Data Scientist based in Helsinki with eight years of experience translating complex business problems into practical, revenue-driving analytics solutions across retail, logistics, and maritime industries. He has led over 50 projects, from demand forecasting and location optimization to staffing and marketing campaign optimization, consistently turning models into measurable profit improvements for large FMCG and retail clients. Karo combines strong statistical foundations (ARIMA, LASSO) and machine learning (random forests, CNNs, LSTM) with optimization techniques and automation to reduce manual work and boost decision quality. He has a track record of mentoring data scientists, running internal training, and presenting results to both technical and non-technical stakeholders. Comfortable moving between hands-on modeling and stakeholder-facing strategy, he also brings financial operations experience and VBA/Excel automation skills from earlier roles—an asset when aligning analytics with business processes. Educated in business analytics and quantitative finance, Karo uniquely blends quantitative rigor with pragmatic implementation to deliver end-to-end data products.
7 years of coding experience
9 years of employment as a software developer
MSc Economics and Business Administration Business Analytics Quantitative Finance, MSc Economics and Business Administration Business Analytics Quantitative Finance at Norwegian School of Economics (NHH)
BSc Economics and Business Administration Financial Management Economics and Finance, BSc Economics and Business Administration Financial Management Economics and Finance at LUT University
English, Finnish, Swedish, Norwegian, Spanish