Heli Huhtilainen is a Data Scientist based in Helsinki with eight years of industry experience transitioning from billing and software development into machine learning and NLP. After earning a MSc in Computer Science from the University of Helsinki, she applied her full-stack background at Kesko to bridge production engineering and data-driven solutions, now focusing on building applied deep learning systems. Her career path—from invoicing and credit management at Elisa to junior and full-stack developer roles—gives her a practical appreciation for product workflows and reliable deployment. She combines hands-on engineering with research-grounded expertise in NLP, and is motivated to turn advanced models into useful customer-facing applications. An uncommon strength is her early training in fashion design, which contributes a design-minded perspective to user-centric ML solutions.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Helsinki
Bachelor’s degree, Fashion/Apparel Design, Bachelor’s degree, Fashion/Apparel Design at Southampton Solent University
Bachelor’s degree, Fashion, Bachelor’s degree, Fashion at JAMK University of Applied Sciences
Solo desktop project for Methods of Software Engineering course at Helsinki Uni. The application offers the user a way to organise a fragrance collection. Tecs: Java - JavaFX - Maven - SQLite - JUnit
Contributions:3 releases, 40 PRs, 115 pushes in 1 year 2 months
engineering-coursemavensql-databaseorganisesolo
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