data can be overwhelming.
let’s fix that.

NewAI tool builds
Open to new roles

Samantha NoonSenior Data Analyst & AI Builder

01 — Why it matters

Anyone can build fast now. Useful is the hard part.

AI tools are advancing so quickly that almost anyone can build something in an afternoon. What matters is the practical build: made for how the business actually works, solving a real problem, and tied to real revenue. That’s what I build.

02 · AI Tool BuildsCustom AI tools that solve real problems.TraceBack · Construction Document Checker · + 3 more 03 · Data + DashboardsTracking and dashboards teams actually use.GA4 · Tableau · Looker Studio · 5 examples
02 — AI Tool Builds

AI tools recently built.

Practical builds for everyday business problems, each one shaped around how a team actually works.

Build 01

TraceBack™ · User journey mapping

Every company asks what actually leads to a sale. TraceBack rebuilds every visitor’s journey from GA4 or BigQuery data, so you can see which channels start journeys, which close them, and where buyers get stuck. It runs entirely in the browser, so the data never leaves your computer.

Watch the demo video below 1:11 · sound on

© 2026 Samantha Noon · Proprietary work, shown for portfolio review only. Not to be copied or recreated.

Journeys mapped
457
Buyers traced
45
Revenue attributed
$78.4K
Channels compared
8

Click any image to see it full size

01Where do buyers come from?channel → landing page → plan
02Which channels drive revenue?trends · last vs. first touch · top products
03What happens before the sale?steps back from purchase · routes into checkout
04What did this buyer do?every session, page and friction point
  • GA4
  • BigQuery
  • Client & User ID
  • Attribution
  • UTM
  • Friction detection
Sample dataset · 2026 Want this for your site? ↗
Build 02

Construction Document Checker · Maker-checker AI

Paperwork hides expensive mistakes: a pay application that over-bills, an expired insurance certificate, a lien waiver nobody signed. This checker reads each document with AI, checks the math and cross-document rules in plain code, has a second, independent AI re-read the page, and sends only the documents with a problem to a person.

Watch the demo video below 0:31 · sound on

© 2026 Samantha Noon · Proprietary work, shown for portfolio review only. Not to be copied or recreated.

Documents tested
43
Known errors caught
56/56
Unsafe approvals
0
Rule checks
49
  1. 01 · ExtractAI readsevery field, with a confidence score
  2. 02 · RulesCode checks49 checks, to the cent
  3. 03 · CheckerSecond AIan independent re-read
  4. 04 · RouteClear or flaga person decides
  • Claude
  • Python rules engine
  • Maker-checker AI
  • Human review
  • Scans, faxes & phone photos
Tested on 4 document sets · 2026 Need this for your documents? ↗

More AI tools built for work.

⤢ Click to enlarge

PagePulse AI

SEO · Live

Audits any web page for speed, Core Web Vitals and keywords, then ranks the three fixes that will matter most.

Document Snapshot

PDF · Live

Summarizes a long PDF and scores how well its claims are backed up, before you commit to reading all of it.

Build Radar

Email · Live

An automated email brief that tracks GA4, GTM, Looker Studio and practical AI updates, with a takeaway for each.

03 — Data + Dashboards

Data dashboards people open.

⤢ Click any dashboard to see it full size.

Google AnalyticsSample data
Tableau · Looker Studio · GA4( mock data, real thinking )
04 — What I do

The analytics + AI stack.

01

Tracking

the foundation

  • GA4
  • GTM
  • Data layers
  • Consent
02

Journeys

who did what, and why

  • BigQuery
  • Attribution
  • UTMs
03

Dashboards

numbers people open

  • Tableau
  • Looker Studio
  • Power BI
04

SEO + AEO

found in search and AI answers

  • Core Web Vitals
  • Keywords
  • AI answer engines
05

Applied AI

the busywork, done

  • Agents
  • Automation
  • LLM analysis
06

Reporting

insight to action

  • SQL
  • Adobe Analytics
  • KPIs
05 — Personal AI Projects

AI projects built for fun.

Side projects where I try new ideas.
⤢ Click to enlarge

Last Call Arcade

Just for fun

The bar-top touchscreen games of the ’90s, rebuilt for the browser.

Rewind Club

In progress

A site for physical media collectors to show off their shelf.

Next up

Just for fun

More personal builds are on the way.

06 — About
Portrait of Samantha Noon

Hi, I’m Samantha.

Senior Data Analyst & AI Builder

I build analytics and AI that are designed around how a business actually runs. For more than six years I’ve set up the tracking, made sure the numbers hold up, and built the dashboards teams use to decide what to do next, most recently across 50+ sites at Bentley Systems.

Now I design and build AI tools on top of that foundation: tools like TraceBack and the Construction Document Checker that answer real business questions, catch costly mistakes, and keep a person in charge of the decisions that matter. I plan the architecture first (data, rules, AI checks and human review), so what I build is accurate, explainable and ready for a real team to use.

Resume ↓ LinkedIn ↗
07 — Contact

HELLO

hiring for analytics or AI?
let’s talk.

Message on LinkedIn ↗ Resume ↓
08 — Questions

Quick answers.

About my data and AI work.

Q01

Who is Samantha Noon?

Samantha Noon is a Senior Data Analyst and AI Builder based in Nashville, Tennessee, working remotely. She has more than six years of experience in web and marketing analytics, most recently leading GA4 and Google Tag Manager implementation across 50+ sites at Bentley Systems. She also designs and builds custom AI tools for real business problems.

Q02

What AI tools has Samantha Noon built?

Her recent AI tool builds include TraceBack, a user journey mapping tool for GA4 and BigQuery data; the Construction Document Checker, a maker-checker AI pipeline for construction paperwork; PagePulse AI for SEO page audits; Document Snapshot for summarizing long PDFs; and Analytics Build Radar, an automated analytics news brief.

Q03

What is TraceBack?

TraceBack is a user journey mapping tool that rebuilds every visitor’s path to purchase from GA4 or BigQuery data. It shows which channels start journeys and which close them, compares first-touch and last-touch attribution, and flags where buyers get stuck. It runs entirely in the browser, so the data never leaves the user’s computer.

Q04

How does the Construction Document Checker catch mistakes?

It uses a maker-checker design. AI reads each pay application, insurance certificate or lien waiver, Python code checks the math and 49 cross-document rules, and a second, independent AI re-reads the page. Only documents with a problem go to a person. In testing on 43 documents with 56 known errors, it caught all 56 with zero unsafe approvals.

Q05

What analytics tools does Samantha Noon work with?

Google Analytics 4 (GA4), Google Tag Manager, data layers and cookie consent, BigQuery, SQL, Looker Studio, Tableau, Power BI and Adobe Analytics, plus Marketo, HubSpot, LinkedIn Ads and Meta Ads, UTM campaign governance, SEO and AEO.

Q06

What is AEO, and why does it matter?

AEO stands for answer engine optimization: making content easy for AI assistants and AI search tools to find, understand and cite. As more people get answers from AI instead of a list of links, clear structure, direct answers and accurate structured data help a business show up in those answers.

Q07

Is Samantha Noon open to new roles?

Yes. She is open to Senior Data Analyst, Data Analytics Manager and AI builder roles, remote or hybrid. The best way to reach her is on LinkedIn or by email at [email protected].