Expert data consulting for startups and growing companies. From statistical modeling to production pipelines — rigorous thinking, practical results.
Whether you need to build from scratch or level up what you have — I bring the full stack of data expertise.
Statistical modeling, predictive analytics, and exploratory analysis that actually answers your business questions. Grounded in rigorous methodology, not just curve fitting.
Go beyond correlation. Understand what truly drives your metrics with causal modeling, A/B testing frameworks, and quasi-experimental designs. PhD-level expertise applied to real problems.
From prototype to production. I build ML systems that work in the real world — not just in notebooks. Model development, validation, deployment, and monitoring.
Leverage the latest in AI. From integrating LLMs into your workflows to building custom AI solutions — I help you cut through the hype and implement what actually delivers value.
Build the foundation right. Data pipelines, ETL/ELT workflows, warehousing, and infrastructure that scales with your business. Clean data in, reliable insights out.
Data platforms, cloud infrastructure, and MLOps. I design and build the systems your data team needs to move fast without breaking things.
Not sure where to start? I help companies figure out what data can (and can't) do for them, build roadmaps, and hire the right people as they grow.
Most consultants know theory or practice. I do both.
I'm Phillip Bredahl Colliander — a mathematician turned data scientist turned engineer. I hold a PhD in theoretical statistics with a focus on causal inference and test theory, and I've spent years applying that knowledge in the real world.
I've been a senior data scientist building models that drive business decisions. A data engineer designing pipelines that handle millions of events. A platform engineer making sure it all runs reliably in production.
I'm also deep into AI and large language models — not just the hype, but the practical side. I help companies understand where AI fits, build proof-of-concepts, and deploy solutions that actually work in their context.
I work primarily with smaller companies and startups because that's where data can make the biggest difference. You don't need a 50-person data team to be data-driven. You need the right person asking the right questions.
Have a data challenge? Let's figure out if I can help.
Whether you have a specific project in mind or just want to explore what data can do for your business — reach out. No pressure, no jargon. Just a conversation about what's possible.