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.1Governed layer for every client's data, replacing a database per client
• 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.5Paid channels in one attribution data mart
• 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.+27%Revenue growth over two seasons
• Municipal government · City of SurreyProperty tax programs at the City of SurreyRan a property tax deferment program worth $40M+ in municipal revenue, and oversaw the 2020 tax sale.$40M+Municipal revenue in the 2019 tax deferment program

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.

• Canucks Sports & Entertainment

  Sales

  I started in sales, managing 800+ memberships worth over $2M. I know what a rep needs from the CRM.

  From sales to running BI

• Neo Financial

  Marketing

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

  Attribution across five channels

• Canucks and Neo Financial

  Business operations

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

  The CRM migration

• City of Surrey

  Finance

  I worked in municipal finance and accounting, including a property tax program worth $40M+ in revenue.

  City of Surrey roles

Four things I do on every data team. Each links to where I’ve done it, and to a lab where you can see it run.

1. 01

   One source of truth

   I model the data once, with tests and a written contract. Sales, marketing and finance stop arguing about whose number is right.

   • PRIME data contract
   • Tests and contract, live

2. 02

   Fresh enough to act on

   I replace weekly batches with incremental loads. At StellarAlgo, data went from 7 days old to under 12 hours.

   • 7 days to under 12 hours
   • Run an incremental load

3. 03

   In the tools people use

   A dashboard nobody opens changes nothing. I push the answer into the CRM, the ad platforms or an AI assistant.

   • Attribution synced to ad tools
   • Ask the data with Claude

4. 04

   Measured like a product

   I track usage, speed and errors on data products. Then we know what’s worth keeping and what to cut.

   • BI team built from zero
   • Telemetry and tracking plan

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