I have spent two decades applying statistics, machine learning and AI to operations and finance: plant analytics and statistical process control, quantitative finance, language-model research and platform building, and production-planning and pricing optimization. I have delivered outcomes in process industry, manufacturing, fmcg and pharma.
Today I run fixed-price audits and sprints aimed at the numbers a CFO and a plant leader both watch: cash cycle, inventory, production plans, cost and margin. I lead the work, supported by a team of specialists in finance and operations systems.
Book a 30-minute conversationProcess modeling, statistical process control and cost-reduction analytics in manufacturing.
Production planning, on-demand manufacturing flows, plant operations, sales and pricing optimization.
Predictive models, performance and marketing attribution, and success forecasting.
Derivatives pricing, portfolio hedging, and a statistical-arbitrage fund built on econometric models.
NLP on financial disclosures, bankruptcy prediction, anomaly detection, computer vision, and a semantic platform built on language models.
Order to cash, procure to pay and record to report across JD Edwards and SAP, which is where much of the data lives.
See the research.
Scope, deliverables, price and the number of working sessions are written down before we start.
Each figure in a readout traces to a system, a field and a date, and every assumption is written down so your team can challenge it.
We work with the systems you already run. Findings and models are yours to act on with any partner.
