David is a data consultant with experience in data quality, transformation, and analytics, having previously worked at Kantar in the consumer insights space. There, he supported global clients by maintaining data integrity and improving reporting processes.
Before moving into consulting, David completed a data analytics accelerator at the London School of Economics to deepen his technical skills and transition from his academic background in Chemical Engineering at the University of Surrey, where his interest in data first developed.
Wanting to expand beyond backend data work and develop stronger analytical and visualisation skills, David joined The Data School to build expertise in tools like Tableau, Alteryx, and SQL. He enjoys working on projects that combine critical thinking, creativity, and a clear business impact:
Developed a Tableau dashboard powered by BigQuery and dbt to monitor router compliance and device lifecycle risks. The solution increased risk detection speed by ~80–90%, reduced time to identify high-risk devices by ~75%, and enabled a 10-person security team to proactively manage infrastructure vulnerabilities.
Worked with the University of Cambridge to help build an interactive dashboard combining HR and survey datasets to improve visibility of representation trends across departments. The solution enabled more transparent workforce reporting and supported evidence-based policy discussions at leadership level.
Collaboration with LGC group to design an automated Alteryx data quality framework auditing HR data across SharePoint, IFS, and SmartRecruiters systems. This improved data accuracy by 25%, reduced reporting turnaround time by 40%, and restored confidence in workforce reporting for senior stakeholders.
Applied machine learning techniques including linear regression and clustering in Python to analyse customer behaviour and identify factors influencing loyalty and spending patterns. The project demonstrated how predictive analytics can support data-driven marketing strategies and customer segmentation.
David’s approach to consulting focuses on turning complex and fragmented datasets into clear, actionable insights that support confident decision-making. He values close collaboration with stakeholders, combining technical expertise with strong communication to deliver solutions that are both scalable and practical.