I help teams grow revenue with better data and products.

• Sports analytics SaaS · StellarAlgoPRIME and the AI layer at StellarAlgoUnified every client's data into one governed layer, so teams self-serve and AI answers match the dashboards.
• Fintech · Neo FinancialMarketing attribution at Neo FinancialBuilt one attribution view across five paid channels, with CAC and LTV models that guided where the budget went.
• Pro sports · Canucks Sports & EntertainmentBusiness intelligence and CRM at Canucks Sports & EntertainmentBuilt a BI team and warehouse from scratch. Our pricing and membership analysis supported 27% revenue growth.
• Municipal government · City of SurreyProperty tax programs at the City of SurreyRan the 2019 property tax deferment program and oversaw the 2020 tax sale, which closed at a 100% success rate.

See my side projects: Signl List and Valve

I’ve sold memberships, run marketing operations and worked in municipal finance. That’s why my data work starts with the people who use it.

• Sales

  I started in sales, managing a book of 800+ member accounts. I know what a rep needs from the CRM.

  Canucks

  From sales to running BI

• Marketing

  I ran marketing operations: a team of analysts, the martech stack and its budget. My degree is in marketing.

  Neo Financial

  The attribution work

• Business operations

  I led a HubSpot to Salesforce move, including vendor negotiation. At Neo, I checked vendor contracts against usage before renewals.

  Canucks and Neo

  The CRM migration

• Finance

  I worked in municipal finance, running a property tax deferment program and overseeing a tax sale.

  City of Surrey

  City of Surrey roles

Four things I do on every data team. Each one links to the work that shows it.

1. 01One source of truthI model the data once, with tests and a written contract. Sales, marketing and finance stop arguing about whose number is right.The PRIME platform →
2. 02Fresh enough to act onI replace weekly batches with incremental loads. At StellarAlgo, data went from 7 days old to under 12 hours.Run a live pipeline →
3. 03In the tools people useA dashboard nobody opens changes nothing. I push the answer into the CRM, the ad platforms or an AI assistant.Attribution at Neo →
4. 04Measured like a productI track usage, speed and errors on data products. Then we know what’s worth keeping and what to cut.Explore the Lab →

Three small data products on Calgary data. Each one has a tested pipeline you can run live in your browser.

• NHL play-by-playCalgary Flames shot analysisEvery Flames shot attempt since 2021-22, including this season. Where they shoot from, and where goals come from.
• Machine learningWhat’s a Calgary home worth?Every home’s 2026 assessment, and a value model trained in Python. It explains each estimate.
• City of Calgary open dataWhere Calgary is buildingEvery building permit since 2015. How many homes were permitted, how long it took, and where.

See all three labs and how they’re built