Theo Valmis

About

I build data and AI systems that improve operational reliability and decision quality.
15+ years delivering analytical rigour for S&P 500 and FTSE 100 brands — now combining that foundation with AI infrastructure work.

Currently building Mneme — a project memory and decision enforcement layer for AI coding agents, designed to prevent architectural drift and forgotten constraints in long-running software projects.

Education

School of Sciences
University of Ioannina
Bachelor of Science — Physics
Physics


15+ years delivering analytical rigour for S&P 500 and FTSE 100 brands. I combine measurement architecture, attribution modelling, and the experimental method to turn data into decisions — for agencies, enterprise clients, and founder-led platforms alike.

Awards & Recognition

Campaign

Integrated Agency of the Year

Awarded by Campaign Magazine — one of the most prestigious recognitions in the UK marketing industry.

2022

Sitecore

Experience Award

Recognising outstanding digital experience design and implementation built on the Sitecore platform.

2021

DataIQ

Best Place to Work in Data

Two consecutive years recognised by DataIQ for building and sustaining a leading data culture and team environment.

2019 & 2020

Ericsson

Awards of Excellence in Telecommunications

Ericsson's internal excellence programme recognising outstanding contribution to the telecommunications industry.

View Certificate →
4

Industry Awards

Coursera — Verified Credential  ·  University of Illinois

Digital Marketing Specialisation

A six-course specialisation covering digital analytics, marketing analytics in theory and practice, digital marketing channels, and a capstone project — issued by the University of Illinois at Urbana-Champaign via Coursera.

Digital Marketing Specialisation — University of Illinois / Coursera View Certificate →
XDigital Marketing Specialisation — University of Illinois / Coursera

ANALYSIS CASE STUDY

CURRICULUM VITAE

What I Do

Services

I advise CMOs and CEOs on marketing measurement strategy, attribution architecture, and data infrastructure. 15+ years turning complex, cross-channel data into decisions that move revenue.

Digital Marketing Analytics & Tracking

GA4, GTM, server-side tracking, and data-driven attribution setup.

Conversion Rate Optimization (CRO)

UX audits, funnel optimization, and testing strategies to increase conversions.

Marketing Attribution & Reporting

Cross-platform attribution modeling and Looker Studio dashboards. ROI, LTV, MMM and Forecasting.

Consulting & Training


Hands-on workshops to build analytics skills, accelerate execution, and explore AI adoption for smarter insights and automation.

Marketing Data Architecture

Unify customer data across platforms and use CDPs to enable accurate targeting, automation, and ROI measurement.

GDPR Compliance & Consent Management

Configure consent platforms and data governance workflows using solutions like OneTrust.

Current Project

Mneme — AI Decision Enforcement

What it is

Mneme is a project memory and decision enforcement layer for AI coding workflows. It stores architectural decisions in your codebase and enforces them — preventing LLMs from reinventing your stack, bypassing your patterns, or ignoring constraints you have already resolved.

Why it exists

LLMs forget. Projects do not. Every session starts cold — repeating constraints, re-explaining decisions, watching the model drift. Mneme injects the right decisions at the right moment, so your AI assistant behaves like the same assistant over time.

$ mneme check --mode strict
Checking decisions...
PASS  Storage decision enforced — Postgres locked
PASS  Auth pattern respected — JWT unchanged
WARN  New dependency introduced — not approved
FAIL  Violates ADR-004 — Repository pattern bypassed
mnemehq.com GitHub

Read: Why I Built Mneme →

Ready to fix your tracking and attribution?

See how I fix tracking and attribution for startups, agencies, and ecommerce teams.

Digital analytics consulting Hire Me on Upwork
 

Client Portfolio

BT Dell Microsoft Aston Martin Mercedes-Benz Coca-Cola Shell AON Nestlé GSK Pets at Home HSBC ABB Aviva Knight Frank Mazda O2 Three UK Virgin Media O2 Business Samsung

Selected Client Work

Analytics, CRO & Ecommerce Case Studies

Founder Projects

Data-driven platforms built and operated independently. Both are live, generating revenue, and underpinned by the same measurement and data architecture applied to enterprise client work.

CannabisDealsUS

Award-Winning Cannabis Marketplace & Price Comparison Platform

A data-driven marketplace that aggregates and standardises product and pricing data to enable transparent comparison across categories. Built as a scalable platform with measurable growth loops across SEO, content, and analytics.

What I own:

Data architecture and ETL design, taxonomy and content systems, tracking and attribution, dashboards and reporting, SEO strategy and site performance optimisation.

Stack:

GA4, GTM, BigQuery, Looker Studio, WordPress, WooCommerce, automation pipelines

View Platform Learning Center

Cannabis Price Index

Weekly pricing and discount intelligence for category-level market tracking

A repeatable weekly reporting layer that turns product snapshots into a structured view of price movement. Designed for consistency, auditability, and trend analysis across CBD and THC subcategories.

What it includes:

Category rules and canonical reporting views, weekly cadence processing, distribution reporting, subcategory breakdowns, and executive-ready charts.

Stack:

BigQuery reporting views, scheduled ingestion pipeline, Looker Studio dashboards

Cannabis Price Index

Contact

Theo Valmis

London, UK

+44 792 6768 126

hi@theovalmis.com
 

  Connect on LinkedIn