SimAnalytics
Alpi Jokinen is a Machine Learning Engineer at SimAnalytics since February 2023, with previous experience as a Trainee Scientist at Vaisala, where research focused on rain measurement technology and included a Master's Thesis. Prior roles at Vaisala featured work as a Project Intern developing a prototype sensor for museum applications and conducting research on storage marking status. Alpi has also worked as a Research Assistant and Classroom Teacher at Aalto University, contributing to the New Energy Technologies group and managing a 3D printer for fuel cell electrolytes. Early experience includes project intern roles at Vaisala, various assistant positions at Fennia, and service as a Communications Ensign in the Finnish Defence Forces. Alpi holds a Master of Science in Engineering Physics/Applied Physics from Aalto University.
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SimAnalytics
SimAnalytics: Empowering Process Industry Experts with Data-Driven Solutions At SimAnalytics, we are dedicated to revolutionizing the process industry through our flagship software solution, Factory Harmonizer. Our cutting-edge technology transcends traditional data analytics and prediction systems, empowering production line staff with unparalleled visibility and control over their complex production processes. Factory Harmonizer combines the best of human expertise, process data, and automated machine learning to stabilize the production process for better productivity. As a growing family, we are driven by a collective vision to be the forefront of innovative technology and provide unparalleled solutions for process industry experts. With our engaged employees and their passion for excellence, we are committed to becoming the leader in delivering data-driven solutions that shape the future of the process industry. We're a proud member of the Kemira family as of January 2023.