What We Do

We work with clients to perform analyses, develop new data science capabilities, establish metrics and analytics strategies, and put their data to work fighting churn and driving adoption. We partner with small teams that have data problems but aren't ready to hire a data science team. Reach out to get started.

Recent Work

Startups are Sleeping on Responsible AI (Featured on GeekWire)

An analysis of the GeekWire 200 shows that while most startups market their AI, few explain how it works – or why they can be trusted. 73% of B2B startups are talking AI, but their hype outpaces their responsibility.

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Building Responsible AI at Textio

Ryan developed statistical methods for bias evaluation, and coauthored the Building Responsible AI at Textio whitepaper.

Read the whitepaper

Interview: Bias in Data Science

Ryan Sloan spoke with Information Weekabout sources of bias in data science, and shared bias mitigation strategies.

Read the interview

High Performers get the Lowest-Quality Feedback

Ryan partnered with Kieran Snyder on an analysis of performance reviews and performance ratings across multiple companies.

Read the report

How We Work

Full Rank is accepting clients for both per-project and fractional retainer-based engagements. Project specifics are tailored to your needs and scope. We'll start with a discovery call to discuss the problem space. If it seems like a fit, we'll share a proposed project plan with a quote.

Ryan Sloan, Founder

Ryan Sloan's record in data science, product management, and strategy was built at companies large and small. His career spans 14 years at Microsoft, Code.org, and Textio. Past colleagues have described him as having "a knack for presenting insights in a super crisp and clear way", "a grab-a-shovel mentality", and "strong teacher energy (in the best way)". Ryan's undergraduate and graduate studies were focused on computer science, statistics, and machine learning at Georgia Tech. Connect with Ryan on LinkedIn

Why call it "full rank"?

In linear algebra, a matrix with full rank is a special kind of matrix that always has a unique solution. Think of it as a maximum information-density matrix: all signal, no noise.