This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Kinaxis Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Andrii Stepura: Innovator in Probabilistic Estimation
Introduction
Andrii Stepura is a notable inventor based in Ottawa, Canada. He has made significant contributions to the field of machine learning and forecasting through his innovative patent. His work focuses on enhancing the accuracy of predictions using advanced probabilistic methods.
Latest Patents
Andrii Stepura holds a patent titled "Systems and methods for probabilistic estimation in tree-based forecast models." This patent describes systems and methods in which a historical data set is pre-processed once per trained machine-learning model. The process involves forecasting the value of an unknown sample while tracking a leaf path of the unknown sample. The leaf path is limited to a subset of trees in each trained machine model. Additionally, a set of related historical samples is determined based on the leaf path, and a set of quantiles is established from the leaf path. Inventory is then loaded according to the set of quantiles. This innovative approach enhances the efficiency and accuracy of forecasting models.
Career Highlights
Andrii Stepura is currently employed at Kinaxis Inc., a company known for its advanced supply chain management solutions. His work at Kinaxis has allowed him to apply his expertise in machine learning and forecasting to real-world challenges. With a focus on innovation, he continues to contribute to the development of cutting-edge technologies in his field.
Collaborations
Andrii has collaborated with talented professionals such as Sebastien Ouellet and Leila Mousapour. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of innovative solutions.
Conclusion
Andrii Stepura is a distinguished inventor whose work in probabilistic estimation has the potential to transform forecasting models. His contributions to Kinaxis Inc. and the field of machine learning highlight his commitment to innovation and excellence.
