Service · Data science / ML · 5.6% demand share

Data science & applied ML

Practical ML for product decisions — features, baselines, and models you can ship and monitor, not slideware.

Who it’s for

  • Teams with data and a decision to improve
  • Products ready for ranking, scoring, or forecasting
  • Founders who need a baseline before “hire a research team”

What you get

  • Problem framing + success metric
  • Baseline model and evaluation
  • Integration path into the product
  • Monitoring notes for drift and failure

What this is

Data science / ML (~5.6%) here means applied work: improve a decision with data, ship a score or forecast, measure it.

Not a six-month research sabbatical — a product-shaped experiment with a clear metric.

Next step

Tell me what you’re trying to ship. I’ll reply with fit, scope, and a clear first milestone — no pitch deck theater.

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