Turning Data into Better Decisions
We use mathematical and statistical modelling to help teams understand their data and make choices that adapt as things change. Our work focuses on building simple, practical tools that make data easier to use and easier to trust.
Areas of Expertise
Programming and Analysis
We write and maintain the code that makes data useful. This often takes the form of SQL queries to combine data from source systems and Python scripts to run analyses and send results wherever they're needed.
Model Development
We create mathematical models that make sense of complex systems and predict how changes will play out. These models support production, demand, or performance planning and give your team a clearer view of what to expect and how to respond.
Visualisation and Reporting
We design clear visuals and summaries that help people see what matters and share what they find. They might live in Power BI or a custom web app, tied straight into your data systems for live, reliable results.
Data Systems Integration
We connect data and modelling tools so they work smoothly with your existing systems. We can work with your IT staff or handle the setup ourselves through AWS, Azure, or other common cloud services to keep everything running cleanly and reliably.
Business Applications
We turn models and data into tools that support real business work. These help teams plan better, stay on target, and respond quickly when things change.
Process Automation
We use automation to make good processes repeatable and dependable. Reports update themselves, models refresh on schedule, and teams stay focused on analysis instead of admin.
Applied Work
Smarter Production Planning
Built a Python tool to forecast size and quality, model packing priorities, and recommend lane configurations. Reduced changeover time and increased daily throughput.
Event Sales and Operations Reporting
Combined SAP, Salesforce, and financial data into an Azure-based Power BI system for a North American events company. Improved visibility across finance, sales, and operations.
Workforce Forecasting and Optimisation
Created models to forecast labour requirements and optimise staffing across 1500+ retail stores. Enabled better planning and alignment between finance and operations.
Medical Clerkship Scheduling
Built an optimisation system that assigned medical students to hospital rotations based on preferences and capacity. Improved fairness, transparency, and satisfaction.
Marketing Campaign Optimisation
Used SAS modelling to improve targeting and performance of credit and mortgage marketing campaigns for a major financial institution.
Air Force Manpower Modelling
Developed mathematical models for forecasting and optimising officer and enlisted personnel levels. Supported key workforce decisions for senior leadership.