Runs a Shopify store
I own Classic Lollipop end to end: products, email marketing and the analytics behind both. It's where I test marketing ideas with my own money.
Senior Data Asset Manager · Trane Technologies
Messy marketing data in. Clear decisions out.
I build the pipelines, data models and self-service reporting that show marketers what's working across every channel, and I automate the routine work so the numbers stay current. Nine years in HVAC marketing, digital and dealer analytics.
20+automated data flows behind 12+ Tableau reports
1,000sview my dealer ROI scorecard each quarter
5 hrsa week saved by moving my flows to Dataiku
What I do, in one picture
Career
Nine years, one thread: making HVAC marketing measurable.
Click any bar to open that role. I started in marketing, moved into analytics, led a team, and came back to Trane to run marketing data for the Americas.
Project lab
Working demos of the kind of problems I solve.
Each demo is a simplified rebuild with made-up data. The real work used company data I can't share.
Reporting that runs itself
Trane Technologies · 2024–present
Problem
Twenty-plus recurring data flows fed the team's Tableau reports. Many still needed someone to pull exports, rerun steps by hand and check the results every cycle, and fragile workflows broke often.
What I did
Led my team's move from Alteryx to Dataiku for scheduled, more stable pipelines. As part of Trane's Dataiku Champions group I tested new features before company rollout, taught the team the tool and was their go-to contact while they learned. For the heaviest monthly projects I built end-to-end Power Automate → Dataiku processes, so files are collected, prepped and published without anyone touching them.
Result
Dozens of team hours saved each month on routine updates, about 5 hours a week for me, and some monthly projects went from multiple days of manual work to hands-off runs.
Pick how often a report refreshes, then compare the manual cycle with the automated one. EXAMPLE NUMBERS
One model for every marketing channel
Trane Technologies · 2024–present
Problem
Campaign data lived in separate platforms. GA4, Campaign Manager, Google Ads, Meta, LinkedIn and BrightEdge each told part of the story, and none of them connected to leads or dealers.
What I did
Designed the data structures that join those sources into one clean model. Brought in new sources like Google Ads and BrightEdge, automated the prep in Dataiku, then built performance dashboards and trained marketers to use them on their own.
Result
Marketers measure outcomes by tactic and channel without waiting on an analyst, and leadership sees one version of return on marketing spend.
Turn sources on and off. Each question below needs specific sources joined before anyone can answer it.
Answerable questions
Tuning the dealer locator
Magenta Technologies (Trane × Red Ventures JV) · 2022–2024
Problem
Homeowners use the dealer locator to find someone to call. The search radius and ranking decide whether they see a good match or nothing at all.
What I did
Coordinated locator strategy, analysis, monitoring and testing with the Trane team, dealers and developers.
Result
A locator tuned with data for both sides: homeowners see relevant dealers and dealers get better-matched leads.
Click the map to move the homeowner. Drag the radius to see the tradeoff. SAMPLE DATA
Nearest dealers
Searches that find nobody
A BTU calculator for homeowners
Magenta Technologies (Trane × Red Ventures JV) · 2022–2024
Problem
Most homeowners have no idea what size system they need, and that uncertainty stalls them before they ever call a dealer.
What I did
Researched, built and developed a BTU calculator for the website with dealers, the Trane team, engineering and developers.
Result
Shoppers get a starting number and arrive at the dealer conversation with better context.
A rule-of-thumb version. Real sizing uses a Manual J load calculation done by a dealer. SIMPLIFIED
Estimated cooling load
Testing the site instead of guessing
Magenta Technologies (Trane × Red Ventures JV) · 2021–2022
Problem
Pages and calls to action were designed on instinct, and the team couldn't tell where a visitor was in their buying journey.
What I did
Worked with data engineers, developers and creative to A/B test CTAs, pages and site paths. Reworked how on-site journeys are classified so we could read visitor intent.
Result
Changes shipped on evidence, and new KPIs for site health and customer journeys fed business reviews with Trane.
Enter results from a test to read out lift and significance. EXAMPLE NUMBERS
VisitorsConversions
Toolkit
Tools grouped by the job they do.
Pick a skill to see where I've used it. The career chart above updates to match.
Pick a skill to trace it through my career.
Off the clock
I build things after hours too.
DIY builds
Truck upgrades, home AV and security systems, electronics. If it can be wired, mounted or tuned, I'd rather do it myself.
Miniature painting
Patience, steady hands and a lot of layering. Good practice for detail work.
Coffee and brewing
Dialing in a recipe is just another experiment with variables to control.
Contact
Need your marketing data to make sense? Let's talk.
I'm interested in marketing analytics, data strategy and analytics leadership roles.
Email
LinkedIn
Based in
Charlotte, NC area · open to hybrid
Resume