Alexander Wilkes
About Alexander Wilkes
Alexander Wilkes is a Principal Machine Learning Engineer at Trainline, where he develops full stack machine learning products. He has a diverse background in data science and business analysis, having worked for various organizations including Parkopedia and the Royal Bank of Scotland.
Work at Trainline
Alexander Wilkes currently serves as a Principal Machine Learning Engineer at Trainline, a role he has held since 2022. His responsibilities include developing full stack machine learning products, managing the entire process from ideation to deployment. He works in a hybrid environment based in London, England, and focuses on automating machine learning pipelines using various tools and technologies.
Previous Experience in Data Science
Prior to his position at Trainline, Alexander worked as a Data Scientist at Parkopedia from 2020 to 2022 in London. His earlier roles include consulting at Virgin Red for eight months in 2019 and serving as a Principal Consultant at BAE Systems Applied Intelligence from 2014 to 2017. He has a strong background in data science and analytics, which he has applied across various industries.
Background in Business Analysis
Alexander has extensive experience in business analysis, having held several senior roles at the Royal Bank of Scotland. He worked as a Senior Business Analyst from 2011 to 2012 and again from 2013 to 2014. Additionally, he served as a Senior Business Analyst at Lloyds Banking Group for six months in 2012. His analytical skills have been instrumental in driving business insights and strategies.
Education and Expertise
Alexander studied at the University of Cambridge, where he earned a BA in Economics with a 2.i classification from 2004 to 2008. He later completed a Master's degree in Data Science at King's College London, graduating with distinction in 2019. His educational background provides a strong foundation for his expertise in geospatial data and managing large-volume datasets.
Technical Skills and Projects
In his professional career, Alexander has developed expertise in automating machine learning pipelines using tools such as Flask, Airflow, Terraform, and AWS. He has worked on high-profile data projects with organizations including the Driver & Vehicle Standards Agency and Transport for London, showcasing his ability to handle complex data challenges.