After 11+ years building cutting-edge ML systems at McLaren Automotive (yes, the supercar company), I had a realization: the same data methods that optimize $300,000 engines can transform small businesses—but nobody was making it accessible. Enterprise companies have data teams. Small businesses have you—the owner, wearing 12 hats, making decisions with gut feel and scattered spreadsheets. That's what I fix. I bring enterprise-grade data analytics to growing companies, without the enterprise price tag, timelines, or complexity. Your data is already telling you what to do next—you just need someone to translate it.
Expert in building
prediction systems
that actually work in
real business environments—
not just
academic exercises. From messy spreadsheets to automated insights,
tested and proven
with your actual data.
Tools and platforms that power the work
Python 3.12 with Polars,
PostgreSQL and Azure cloud,
expert in Scikit-learn Gaussian Process,
building with Power BI and Plotly Dash,
Git/GitHub version control and
exploring LLM context engineering.
From messy data to clear decisions. I build practical systems that predict what's next—so you can plan with confidence instead of reacting in panic.
(a)
Diagnose
What's actually in your data? Where are the opportunities? What's
realistic given your budget and timeline? I spend 1-2 weeks understanding
your business and data landscape before recommending anything. Sometimes
the answer is "You don't need me yet"—and that's okay.
(b)
Build & Test
I build the system, test it against your real data, and refine until
it's delivering accurate, actionable insights. You see progress every
week, not after months of black-box development. Typical build time: 4-8 weeks.
(c)
Launch & Train
I hand over a working system with clear documentation, train your team
(even if that's just you), and make sure you're confident using it.
You own everything—no ongoing dependencies unless you want support.
What to Expect
Real results from enterprise systems adapted for small business scale
5-10x
Typical ROI
Most clients recover project costs within 6-12 months through better decisions
2-3 weeks
Time to First Insights
See preliminary patterns and opportunities before committing to full build
$8K-$35K
Project Investment
Fixed-scope pricing—know the cost upfront, no enterprise sticker shock
100%
You Own Everything
No ongoing licensing fees or vendor lock-in—systems built for your independence
Formal education in engineering systems combined with specialized data analytics training provides the foundation for rigorous, production-ready ML solutions. Continuous learning in emerging AI technologies ensures I deliver cutting-edge capabilities to clients.
MSc, Racing Engine Design
Oxford Brookes University
2012-2013
BASc, Systems Design Engineering
University of Waterloo
2006-2012
Corndel Data Analytics — Distinction
McLaren Automotive
2023
Statistical Model Fitting (MATLAB)
McLaren Automotive
2019
Let's talk about your data.
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