About Me
Principal-level quantitative consultant and technical problem solver with an MMath from the University of Oxford, an EngD in Engineering, and 17 years’ experience solving complex client challenges across energy, defence,…
Principal-level quantitative consultant and technical problem solver with an MMath from the University of Oxford, an EngD in Engineering, and 17 years’ experience solving complex client challenges across energy, defence, financial services, automotive and consumer sectors. Experienced in econometric and statistical modelling, large-dataset analysis, data preparation and validation, decision-support systems, technical leadership and client advisory. Personally develops mathematical methodologies, translates ambiguous problems into structured analytical approaches, leads implementation teams, challenges model outputs and communicates complex findings to C-suite and Board-level stakeholders. Brings an interdisciplinary perspective spanning commercial analytics, engineering, operational modelling, energy transition and investment-relevant technical decisions. Chartered Mathematician and Chartered Engineer.
Experience
Principal Consultant
<p>Led and coordinated multidisciplinary teams of approximately 6-15 across energy-transition, engineering and complex project environments.</p><p> Translated ambiguous client problems into structured approaches, deliverables, governance routines and decision-ready recommendations.</p><p> Connected technical analysis with commercial, operational, funding and programme considerations on industrial CCS and decarbonisation projects.</p><p> Managed scope, resources, project controls, risks, issues, quality, client engagement and forecast-to-completion.</p><p> Established weekly project-control processes linking Oracle timesheet data, deliverable progress, schedule, budget, risks, remaining work and profitability; identified variance and coordinated corrective action with discipline leads.</p><p> Developed Excel/VBA and AI-enabled workflows to transform equipment-list and other engineering inputs into structured cost-estimate outputs.</p><p> Developed prompts and instructions for AI-assisted transformation and supported limited rollout across CCS, battery storage and wind-related applications.</p><p> Coordinated technical evidence, assumptions, outputs and funding information for private, local-government and EU-level stakeholders on industrial CCS projects.</p><p> Supported technology-provider evaluation, constructability assessment and commercial/technical trade-offs for proposed CCS retrofits.</p>
Production Facilities Consultant
<p>Delivered production-optimisation and operational-performance studies for complex offshore energy assets, integrating reservoir behaviour with surface-facility constraints.</p><p> Developed a modelled operating strategy for the late-life Gimboa field that projected approximately 29% greater cumulative recovery than the baseline forecast; this was a modelled outcome, not verified realised production.</p><p> Peer-reviewed and recalculated hydraulic calculations produced by another contractor, investigating discrepancies and challenging assumptions where appropriate.</p><p> Applied expertise in engineering systems, data interpretation, scenario analysis and model validation to operational and investment-relevant decisions.</p><p> Worked concurrently with Ekimetrics from September 2020 to March 2021.</p>
Consulting Manager
<p>Developed the statistical failure-modelling component of a framework for fleet availability and operational readiness across major UK Armed Forces platforms.</p><p> Built Excel/VBA models incorporating planned maintenance, probabilistic component failures, spare availability, cannibalisation, replacement lead times and readiness definitions.</p><p> Created scenario-analysis capability to assess maintenance schedules, failure behaviour, supply-chain availability and operational capability.</p><p> Coordinated technical information and translated quantitative analysis into a client-facing decision-support framework.</p><p> Contributed to portfolio planning, resource coordination, management information, progress reporting and senior stakeholder engagement.</p>
Founder and Owner
<p>Founded and operated an independent consulting and education business, managing client acquisition, proposals, commercial arrangements, delivery and repeat relationships.</p><p> Generated approximately £200,000 cumulatively from SLB, £60,000 from Diageo and £5,000 from ProcureTech, in addition to tutoring revenue.</p><p> Independently identified and developed solutions to unfamiliar technical and commercial problems, managed competing priorities and built client relationships through referrals and repeat work.</p><p> Delivered technology-scouting research for a procurement consultancy, identifying emerging AI-enabled ordering-system providers for potential engagement with global pharmaceutical companies.</p><p> Recruited, selected, trained and mentored tutors; taught and mentored more than 200 students over approximately 15 years.</p>
Senior Manager
<p>Led quantitative consulting and data-driven decision-making engagements for commercial clients.</p><p> Managed analytical delivery across multiple markets, including resources, forecasts, client relationships and competing priorities.</p><p> Worked directly with econometric and statistical modelling for commercial analytics, including multi-market data gathering, standardisation, cleaning, quality assurance, model validation, interpretation and client recommendations.</p><p> Supervised SQL-based data extraction and data plumbing for Shawbrook Bank, working directly with the CTO to ensure outputs supported commercially relevant questions.</p><p> Led and line-managed a distributed multidisciplinary team of up to nine across London, Paris, New York and Hong Kong.</p>
Business Director
<p>Led analytical, commercial and client-facing programmes combining mathematical modelling, data, technology and marketing decision support.</p><p> Personally derived a negative-exponential response-curve methodology for Unilever using historical marketing expenditure and gross-sales data, with greater weighting for recent observations.</p><p> Derived the parameter formulae, implemented Excel prototypes and established methods for estimating sales from a proposed budget or the budget implied by a desired sales outcome, subject to historical relationships.</p><p> Gathered, structured and reconciled data across brands, markets and product categories; developed comparable analytical outputs and bespoke benchmarks for client questions.</p><p> Led extensive robustness, invalid-input, extreme-input and edge-case testing before deployment.</p><p> Managed a four-person Python implementation team scaling the methodology across approximately 500 product lines and 175 countries; retained responsibility for analytical direction and delivery.</p><p> Contributed to the final pitch and senior governance meetings for the approximately €1.3m Unilever engagement, reporting programme progress and analytical recommendations to the global CMO or immediate senior leadership team.</p><p> Supported global deployment, training and user support for approximately 10,000 users across Unilever marketing teams and local agencies.</p><p> Managed a separate Excel/VBA team for HSBC, reviewing and correcting code while overseeing analytical delivery.</p><p> Personally originated approximately £400,000 of HSBC project work across 2019 and 2020.</p><p> Worked with PepsiCo and other major clients on marketing-mix modelling and related quantitative analytics.</p>
Maximus Product Champion and Consultant
<p>Acted as the interface between international customers, users, consultants, product support and software developers for a production-network forecasting application used globally.</p><p> Translated customer requirements and technical feedback into product priorities, functional requirements and software-development actions.</p><p> Delivered modelling, technical support and training across six continents.</p><p> Developed a constrained gas-lift resource-allocation methodology for multiple producing wells, defining mathematical specifications and communicating them to developers.</p>