Most founders are drowning in data but starving for insight. As the author of "From Data to Dollars" (Apress, 2026), I help startups build the unified data engine—Engineering, AI, and Analytics—that actually moves your valuation.
I'm not your typical "Corporate Data Guy."
I don't care about pure academic theory or building perfect systems that take 6 months to deploy. The focus is on getting things done and testing whether they bring actual business value.
I’ve been the "First Data Hire" at multiple startups across the US and Europe—both successes and failures. That perspective helps distinguish what works for startups from what does not. The philosophy is simple: Data is useless unless it turns into dollars.
From early-stage chaos to Series B scale. The work focuses on filling the gap between "We have data" and "We have answers.
For Series A+ startups. Step in to define strategy, hire your team, and establish governance. You get executive-level leadership at a fraction of the cost.
For Seed/Pre-Seed. Hands-on work: building the 0-to-1 infrastructure, setting up the first dashboards, and writing the code that gets you to product-market fit.
For any stage. Have a hypothesis? Scrappy, functional AI prototypes (RAG, predictive models) are built to validate ideas before you commit engineering resources.
Stop guessing with your data. Start building infrastructure that scales, algorithms that predict, and dashboards that actually drive decisions.