AKALYSIS
Data science consultancy
Data science consultancy for messy, complex and high-stakes data
For organisations that need more than reporting dashboards and want analytical work that genuinely improves decisions.
AKALYSIS approaches data science as rigorous quantitative problem-solving, not surface-level automation. That means cleaning and structuring difficult data properly, choosing models with care, validating outputs, and making sure the resulting work is useful for operational, strategic, research, or policy decisions.
Led by Dr. Andrew Kingston, statistician, epidemiologist, data scientist and educator. BSc (Hons) MSc PhD CStat SFHEA.
Area of Focus
Data structure and workflow
Making fragmented, linked, or operational datasets usable through clear analytical pipelines and reproducible structure.
Area of Focus
Prediction and forecasting
Building models where performance, uncertainty, and interpretability matter just as much as fit.
Area of Focus
Decision-ready outputs
Connecting analytical work to reports, dashboards, tools, or recommendations people can actually use.
When this is a good fit
Your data is messy, linked across systems, or difficult to trust at first glance.
You need predictive or forecasting work with stronger statistical grounding.
A simple dashboard is not enough to answer the real business or research question.
You need senior quantitative input without hiring a full in-house lead.
Typical analytical work
- Reproducible analytical workflows
- Predictive modelling and validation
- Feature construction from complex source data
- Forecasting and trend analysis
- Stakeholder-ready reporting and digital decision tools
Why AKALYSIS
Statistical rigour with epidemiological and data science depth
AKALYSIS is designed for projects where the analysis needs to be methodologically coherent as well as useful. That means careful thinking about design, model choice, interpretation, bias, uncertainty, and how results will be challenged by collaborators, reviewers, decision-makers, or the real world.
Book a Free Consultation
Book a free initial call to discuss your data and what rigorous analysis would actually look like for your project. No obligation, no sales pitch.
Free initial consultation, no obligation.