Ash Kent has a diverse work experience in the field of data science and analysis. They began their career as a Data Analyst at iotec Global in 2013, where they gained experience in handling large volumes of data and applying machine learning techniques.
In 2014, Ash joined South West Water as a Data Analyst, where they worked on driving company performance through data analysis. They were proficient in the Microsoft BI stack and wrote integration services projects to automate data transformations for performance reports.
Ash then moved to Oneserve in 2015 and held multiple roles within the company. As a Data Analyst, they developed end-to-end machine learning pipelines and implemented algorithms such as SVMs, random forests, and neural networks. They also worked on projects involving data unification, recommendation engines, and IoT sensor networks.
At Oneserve, Ash advanced to the role of BI Developer, where they focused on streamlining development environments and implementing an agile approach to BI development work. They also took the lead in developing the machine learning and AI aspect of the software.
In 2018, Ash joined Toumetis as a Senior Data Scientist, working on cutting-edge applied machine learning across various verticals. They applied supervised, semi-supervised, and unsupervised learning algorithms to complex multivariate systems.
Currently, Ash is working at Envelop Risk since 2019. They started as a Senior Data Scientist and later became the Senior Data Science Manager. In their current role as the Head of Data Science and Modelling, Ash is leading the data science team and driving the development of data models and algorithms.
Overall, Ash Kent has gained significant experience and expertise in data science, machine learning, and AI through their work in various roles and industries.
Ash Kent has a MSc Advanced Mathematics degree from the University of Exeter and a BSc Pure Mathematics degree from the University of Plymouth. No information is provided about the start or end years of their education at either university.
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