Will Faithfull
About Will Faithfull
Will Faithfull is an Associate at Equal Experts and has extensive experience in data science and engineering, having worked in various roles across multiple organizations since 2007. He holds a Ph.D. in Computer Science from Bangor University and has authored several journal papers on unsupervised change detection in multivariate streaming data.
Current Role at Equal Experts
Will Faithfull has been working at Equal Experts as an Associate since 2019. His role involves contributing to various projects within the organization, leveraging his extensive background in data science and engineering. He has been part of the team for five years, focusing on delivering high-quality solutions and insights.
Previous Experience at HM Revenue & Customs
Will Faithfull has held multiple roles at HM Revenue & Customs. He worked as a Java Developer in Data Engineering for three months in 2020 and later served as a Data Engineer Consultant from 2020 to 2021 for eleven months. He also worked as a Data Scientist Consultant from 2021 to 2022 for one year. Currently, he holds the position of Data Science & Engineering Tech Lead Consultant since 2022.
Education and Expertise
Will Faithfull studied at Bangor University, where he earned a BSc (Hons) in Computer Science from 2008 to 2011 and later achieved a Doctor of Philosophy (Ph.D.) in Computer Science from 2011 to 2018. His academic background supports his expertise in data science and engineering, particularly in unsupervised change detection in multivariate streaming data.
Leadership and Technical Roles
Will Faithfull has held several leadership and technical positions throughout his career. He served as Chief Technology Officer at ExaDev from 2013 to 2015 and as Technical Lead at Infinity Business Advancement Systems Ltd. from 2015 to 2019. He co-founded Sourcepulp Ltd., where he also acted as CTO from 2013 to 2015. Currently, he is the CEO and Principal Consultant at ExaDev, focusing on data solutions.
Research Contributions and Publications
Will Faithfull has authored several journal papers on unsupervised change detection in multivariate streaming data. He has also acted as a reviewer for reputable journals, including Information Sciences and IEEE Transactions on Learning Systems and Neural Networks. His research contributions enhance the understanding and application of data science methodologies.