Fractional Data & AI Analytics

Your business already has the data. I turn it into decisions that move margin.

Nineteen years of production data science at Comcast, paired with hands-on command of the modern AI stack — pointed at your actual P&L. Not another dashboard nobody opens.

Kevin Boller / 19 yrs Comcast data science / Owner-led engagements
signal_monitor
Monthly spend accuracy
±1.9%
Modeled
Model error against actuals, month over month
Action driver
Reallocate $412K of monthly spend with two-percent confidence
The anti-dashboard philosophy

The hard part isn't the data. It's who's reading it.

Most small and mid-size companies live in one of two states: buried in spreadsheets nobody has time to make sense of, or paying for reporting tools that produce charts and change no decisions.

Real analytics depth and real fluency with today's AI tools almost never live in the same person. Analysts who can build a model rarely know the AI stack. The AI crowd rarely has the statistical training to know when a number is lying to them.

That overlap is where I work — and I'm a business owner myself, so I optimize for the thing you care about. Not a prettier report. A better decision, made faster, with evidence behind it.

Typical data analytics
Reporting theater
Bloated dashboards with forty tiles and no point of view
Vanity metrics that move no decision and no dollar
Tools bought, licensed, never adopted
Junior handoffs and a rotating project team
Charts delivered; the original question still open
My approach
Decisions that act on themselves
One actionable decision per deliverable, named up front
Margin and spend accuracy as the scoreboard
AI-driven automation that removes the manual busywork
A senior practitioner start to finish — no handoff
Statistical rigor that catches a number when it lies
Featured impact & proof

Outcomes, not artifacts.

Enterprise-scale work, delivered directly. Every line below is something I designed and built myself.

Predictive forecasting
$5M
Monthly budget
±2%
Forecast error
Forecast $5M in monthly spend to within two percent

Designed and built a predictive model that projected spend across a $5M monthly budget, accurate to within two percent month over month — and held that accuracy in production.

Cloud migration
Access .mdb Supabase
Legacy Access to a secure cloud member portal

Migrated a nonprofit off an aging Microsoft Access database onto a modern cloud backend, then wired it to their site so members view their own records securely.

Track record
19 yrs
Enterprise data science, without the enterprise

Nineteen years as a Comcast data scientist — raw data to decisions leadership acted on — now paired with modern AI stack integration and pointed at one client at a time.

Controls & fraud
Automated credit checks before payout

Built a SQL system that verified applicant credit with Equifax before commissions were released — and separately uncovered a fraud scheme running inside an outsourced sales vendor.

Infrastructure
On-premise servers to cloud infrastructure

Led the migration of database infrastructure off physical machines and into the cloud, inside a company serving millions of customers.

Core capabilities

Four things, done to an enterprise standard.

Dashboards & executive reporting

Reporting a leadership team actually opens — built to be understood and used, not admired and ignored.

Power BI Tableau
Predictive models & forecasting

Spend, demand and churn models with stated confidence — and the statistical rigor to know when a number is lying.

Python Time series
Cloud databases & cleanup

Migration off spreadsheets and legacy databases, pipelines that hold, and data clean enough to trust in a board meeting.

Supabase Postgres SQL
AI-powered workflow automation

Modern AI applied where it pays: removing manual busywork, routing exceptions, and acting on the signal once it's found.

LLM pipelines Agents
Engagement model

Every engagement starts with a paid fixed-fee audit.

Scoped and priced up front, so you always know what you're getting and what it costs. You leave with a plan you can act on — with me or without me.

Step 01
Discover

We start with the business question, then look at the data behind it. You get a clear read on what's answerable today.

Step 02
Map ROI

Each opportunity gets sized in dollars and effort, so the sequence is argued on return, not on taste.

Step 03
Build roadmap

A prioritized roadmap with the first build specified — the model, dashboard or automation that answers the question.

Fixed scope Fixed price No surprises
Start here
Data & AI Audit

A fixed-fee first step. I review the data you already have, find where decisions are being made blind, and hand you a prioritized plan you can act on.

$950 FLAT
Project
Project builds

Fixed scope, fixed price. Reporting that gets used, data cleanup and pipelines, a predictive model, or an AI workflow that removes manual busywork.

from $3,000
Best value
Fractional analyst

Your part-time data team. Ongoing analysis, modeling and AI automation every month, at a fraction of a full-time hire and without the headcount.

from $3,500 / MO
The fit

If you want the lowest bid on a one-off task, I'm not your fit.

If you want a senior partner who finds the signal and builds the thing that acts on it, let's talk.

Book a Fixed-Fee Audit