The Upfront Build
Data organization and infrastructure. One end to end, fully automated, trustworthy source of truth. You walk out with numbers you can defend and act on.
Stop running your company through five tools that tell five different stories.
I help Series A software founders get one source of truth they can act on and defend in board meetings.
Book a 20-minute intro call
The Problem
Data Fragmentation
Truth is scattered across Stripe, HubSpot, Segment, GA, and a Google Sheet someone updates on Tuesdays (maybe). None of the tools talk to each other. Reconciling them is a person's job nobody owns.
Signal Distrust
The numbers exist, but they conflict with what customers and the team are saying. When the dashboard disagrees with the gut, the dashboard loses and then nobody trusts the dashboard (or the people presenting it).
Decision Blindness
Real calls get made on inputs nobody believes. Marketing spend keeps running on a channel that isn't converting. A feature ships without a real A/B test. The aha-moment that drives retention stays a guess. The cost shows up two quarters later, in churn and burned cash.
What I Offer
Ongoing Retainer
Fractional data leadership and support. A data lens/perspective when you need it, without the cost of a full-time hire.
On-demand Projects
Single deep dive analytics (think what is the 'aha' moment that drives retention?) or ML projects (think predict user/customer churn and early intervention strategies) with a defined deliverable.
About me
I'm a freelance data scientist working with software companies on data organization, analytics, and machine learning. I take on the work a Series A team needs but can't justify hiring full-time for yet.
Before this I led data work at The Daily Wire, Product Hunt, and Medimap. The stack changes by company: dbt pipelines, ML frameworks, A/B testing, network analysis, internal Streamlit tools and web apps; but the job is the same: turn a mess of inputs into a clear picture of numbers so leaders can act.
My background is in applied economics, which means causal thinking and problem framing come first. The question matters more than the model. Most "we need a better dashboard" requests aren't really about the dashboard, they're about a lack of trust in the data.
Who I work best with
This Works Best When You're
- A B2B SaaS company, 25–75 people
- Post-Series A, with product-market fit validated and scaling
- Event tracking is in place (Segment, Mixpanel, GA) but underused
- Active in social and paid acquisition on Meta, Google, etc.
- Data is scattered across multiple tools and sources
- Without a dedicated data hire
This Isn't a Fit If You're
- Need a one-day dashboard fix
- Want someone to manage or join an existing data team
- Technology isn't the core of your business
You've read this far, I think we should chat.
Book a 20-minute intro call