Christopher Coulson
About Christopher Coulson
Christopher Coulson is a Data Specialist at hipages Group in Sydney, Australia, where he has worked since 2017. He holds a PhD in Nanophotonics from the University of Cambridge and has extensive experience in machine learning, data modeling, and cloud technologies.
Work at hipages Group
Christopher Coulson has been employed at hipages Group as a Data Specialist since 2017. In this role, he has contributed significantly to various data-driven projects. He developed a hyperparameter tuning system utilizing Bayesian optimization for mass parallelization on Kubernetes. Additionally, he has led the deployment of Spark on an in-house Kubernetes platform, enhancing both ETL framework and streaming mode applications. His work includes creating applications that apply machine learning models to event streams and designing production-facing APIs for real-time machine learning inference.
Education and Expertise
Christopher Coulson studied at the University of Cambridge, where he earned a Doctor of Philosophy (PhD) in Nanophotonics from 2008 to 2013. Prior to this, he completed his Master of Physics (MPhys) at the University of Bath from 2003 to 2007. His educational background provides a strong foundation in advanced scientific principles, which he applies in his current role in data science and machine learning.
Background in Consulting
Before joining hipages Group, Christopher worked at PA Consulting Group as a Technology and Innovation Consultant from 2013 to 2017. During his tenure in Cambridge, United Kingdom, he focused on leveraging technology to drive innovation and improve operational efficiencies. His experience in consulting has equipped him with skills in strategic thinking and problem-solving, which he applies in his current data specialist role.
Machine Learning and Data Modeling Achievements
In his professional career, Christopher has implemented various machine learning and data modeling techniques. He utilized neural networks for search term classification, enhancing customer navigation through the product. Additionally, he developed a churn modeling system that predicts customer retention based on usage statistics, demographic information, and local market conditions. His contributions also include creating a real-time pricing model that factors in supply and demand conditions.
Support for Senior Management
Christopher provides ongoing support to senior management at hipages Group by delivering insights and modeling for product and strategy development. His analytical skills and expertise in data science enable him to contribute valuable information that aids in decision-making processes and strategic planning.