Satalia
Wen Yue is a skilled Data Scientist currently employed at Satalia since May 2022 and previously worked at NTT DATA from June 2021 to May 2022, where a notable project involved developing a Deep Learning model for object detection utilizing computer vision. Prior to this, from January 2019 to May 2021, Wen served as a Senior Modeller at Thames Water, focusing on models that linked leakage to pressure-related features and predicting regional leakage via a time series SARIMAX model. Wen Yue earned a PhD in Probability and Stochastic Analysis from The University of Manchester, completing the degree in 2014. Additional experience includes a postdoctoral researcher position at Technische Universität Wien from March 2014 to February 2017. Proficiency includes tools such as Python, PyTorch, TensorFlow, and Docker.
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Satalia
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The SolveEngine is designed for solving any type of problem enabling you to do things with your business you could previously only dream about.Use the one-stop-source for state of the art optimisation algorithms and you can get immediate access to cutting edge technologies to solve even the hardest problems.Innovative algorithms areproduced in academia yet rarely reach industry. The pace of change means that most planning and optimisation software is ageing and outdated.Their optimisation solutions are available “as-a-service” on demand, or on-premise, as a hybrid cloud or as a standalone solution – whatever suits your individual needs.They take the complexity out of solving optimisation problems, delivering real-world efficiencies and real-time improvements to increase your competitiveness.Companies use Satalia to solve their most challenging optimisation problems in Telecommunications, Financial services, System design and Drug discovery.