Director at Whirli

Algorithmic Solutions provided a thorough and credible independent review of our analytical model.

Their assessment was clear, well-structured, and highlighted practical improvements that will help strengthen the robustness and maintainability of our model.

The work was delivered to a high standard and gave us confidence in both the methodology and the recommended enhancements.

Head of Trading Risk at Sky Betting & Gaming

Lewis developed various software applications within Excel to consolidate data files, generate automated data reports, and built a user-friendly data analytics tool, allowing us to assess data subject to customisable criteria.

These tools saved our team hours of manual work and enabled us to carry out tasks in a more streamlined and efficient manner. The data analytics software allowed us to make more informed business decisions.

Digital Director at GreenTech Gathering

I had the pleasure of working with Lewis on a project in collaboration with the West Yorkshire Combined Authority, Priestley Centre for Climate Futures and the University of Leeds. Lewis was incredibly clear with the deliverables of the climate-tech mapping project and delivered the outcomes efficiently.

The data analysis validated our initial findings and has supported the development of benchmarking metrics for accelerating the climate-tech sector in West Yorkshire. I’d highly recommend Lewis to anyone that requires analysis and benchmarking of datasets.

Senior Lecturer at Sheffield Hallam University

Multiple models of varying complexity were produced, accounting for an increasing number of constraints and laws.

The product of this work was an efficient and fully automated process for scheduling, absent of human intervention and error.

Engagement Manager at Lloyd’s Banking Group

At LBG, Lewis developed software to automate mundane and repetitive processes performed in Excel. Evaluating and generating modelling reports became seamless and absent of human error.

This software streamlined efficiency across the Risk Model Approval Team (RMAT), saving hours of manual work.

Compliance Manager at Australian Learning Group

Lewis and Lauren built two compliance monitoring and reporting tools, enabling us to improve visibility for important datasets. The tools they built were user-friendly and allowed us to assess data in a variety of ways.

As a result, we were able to save time that would have [been used] to manually assess and analyse data, subsequently providing a mechanism for improved compliance-related decisions.