Skip to content
kristenmartino.ai
Strategy · Analytics · Applied AI

I build clarity into complex systems.

Independent product builds — AI in the loop, operator judgment in the seat. Informed by a decade across enterprise systems, from actuarial analytics to billing, pricing, fare logic, and platform migrations.

Clarity in ambiguity
Turning messy problems into structure.
Decision-grade analytics
Insight that holds up to interrogation.
Auditable AI
Inputs traced. Outputs explainable.
§ 02Selected Work

Selected projects.

Independent builds in strategy, analytics, and applied AI for enterprise and operational contexts.

Case Study / Medicare Provider Outliers

Medicare Provider Outliers

Provider cost and volume outlier detection across 43.7M rows of public CMS Medicare data — modeled as a dbt star schema on Snowflake, scored within 9,490 specialty-by-state peer groups, and published as a live interactive data app.

An independent build of the full analytics path: three CMS sources (Part D prescribers, Part B physician services, the NPPES registry — calendar year 2023) loaded to Snowflake, an 11-model dbt star schema with 48 passing tests and ~982 lines of schema documentation, robust MAD + classical z-score detection with peer-group floors, and two public credential-free surfaces — an Evidence data app and the dbt docs lineage site.

43.7M rows · 3 CMS sourcesdbt star schema · 48/48 tests9,490 peer groups · MAD + z-scoreLive data app + dbt docs
All Work15 projects
01CabanaOps Automation + AI02SpecialtyPulse PipelineHealthcare Data Platform03ValuateAI Financial Agent04TenancyAI Document Agent05Eval HarnessApplied LLM Evaluation06Quantization StudyApplied LLM Research07GridPulseEnergy Decision Platform08TarazuProduct + AI09SiftAI News + Civic Literacy10FocusForgeiOS Mobile App11GTM Healthcare IntelligenceHealthcare GTM Analytics12Platform Migration + ARR GrowthCross-Functional Delivery13Revenue Recovery Audit WorkflowEnterprise Systems14RMS Fare Validation SystemDecision Support15Flight Disruption RecoveryOperational Decision Support
§ 03Capabilities

Capabilities.

Where strategy, analytics, and AI meet — under operational pressure.

01

Product Strategy

Product direction when the problem isn't framed yet — finding the actual question, then writing the spec.

02

Business Analysis

A decade analyzing enterprise systems — actuarial pricing and risk modeling first, then billing, fare logic, and platform migrations. Always toward accuracy, auditability, and operational efficiency for operators.

03

Applied AI + Data

Forecasting layers, retrieval pipelines, and LLM-assisted decision tools. Independent builds where the AI sits inside the user's reasoning — designed for inputs you can audit and outputs you can defend.

§ 04About

I'm most at home in ambiguity, in the space before the structure exists.

A decade inside enterprise systems — three years actuarial analytics, then operator seats covering billing, pricing, fare logic, and platform migrations, where systems had to keep working under load. Recent independent work — Valuate, Tarazu, Sift, FocusForge, GridPulse — applies that approach to AI products.

Operating principle

I'll take the messy thing nobody wants to touch, break it apart, and make it work.

Product strategyBusiness analysisApplied AI
01

Diagnose first.

I reduce ambiguity early so teams can move with more confidence and less noise.

02

Design for trust.

If people don't actually use it, the work isn't done.

03

Ship the proof.

I care about what people actually use. The demo isn't the deliverable.

§ 05Contact

Open to roles, partnerships, and select consulting.

Currently exploring senior product roles and consulting work where systems thinking, analytics, and applied AI intersect — especially in operations-heavy contexts where decisions have to survive contact with the floor.