Archie joined The Information Lab after graduating with First-Class honours in Mathematics from the University of Nottingham, where he specialised in statistical analysis, machine learning, and data modelling. During his studies, Archie applied R (using R-Studio) extensively across predictive analytics and ML-based projects, building a strong foundation in data analysis and analytical engineering.
Archie began his professional journey working with globally recognised institutions such as Paramount Studios, Goldman Sachs, and JP Morgan, where he refined his expertise in analytics enablement, client-facing delivery, and data visualisation, developing a particular strength in communicating insights clearly and teaching technical concepts.
Archie further strengthened his engineering focus during his placement at IAG Cargo, where he led optimisation work on a primary table, underpinning over 40 globally used Tableau Workbooks. His work with SQL spanned both Oracle and Snowflake environments, balancing performance, governance, and scalability.
Archie advanced his engineering capabilities by completing the TIL Data Engineering School, specialising in modern ELT architecture and data pipeline development.
Since then, Archie has worked as an Analytics Engineer at VMO2, where he builds scalable transformation layers and delivers high-business-impact metrics using dbt and Google BigQuery. He proposed and implemented a redesigned calculation framework for a key metric — developing the logic, deploying changes into the data pipeline, and presenting the results directly to senior stakeholders.
Archie’s cross-industry experience has equipped him with a broad and practical skill set in turning complex data into clear, actionable insights. Alongside client work, he has pursued a passion for knowledge-sharing, creating over 50 tutorials on Tableau and Alteryx that focus on simplifying technical concepts and supporting learners at all levels.
Outside of work, Archie enjoys staying active through sport, values connecting with new people, and a good old game of chess, in which he will be upset if you win.