Business / Marketing Analyst · Measurement · Dashboards · AI Workflows
Business Analytics & Marketing graduate from Seattle University. Recent work: AI use-case prioritization at Bank of Hawaii, participation dashboards for Seattle U Recreation, and GA4/SEO lead tracking for a real estate business.
The Journey · Six Stops
The work came out of these six stops, in this order. Step through the route, then follow it into the proof.
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2004 to 2022
I grew up on O'ahu, where community isn't a value statement; it's how things get done. Punahou basketball and a varsity co-captain year, a 199-hour Eagle project rebuilding a library, and a first job ringing up military families at the Navy Exchange.
2022
Seattle University: Business Analytics and Marketing by day, refereeing flag football by night. I started as an intramural official and left running the program; along the way I co-founded a student credit union initiative that won $22.5K across two business plan competitions.
2024
A semester at Sophia University: Japanese language, Anthropology of Japan, and a Philosophy of AI course a full year before AI became my job. Being the person who doesn't fully speak the language teaches you to listen harder than any classroom does.
Summer 2025
Back to the islands as one of Bank of Hawaii's first AI interns: 50+ use cases gathered across the organization, a scoring framework, a Power BI dashboard, and a readout to 60+ employees and senior leaders. The journey loops home before its last leg.
September 2025
Ten days across Tuscany with the Albers School: family wineries, Nestle's Perugina chocolate operation, a B Corp textile mill older than most countries. Small firms, long views, and marketing that has survived centuries of change.
2026
Back in Seattle, building what's next: case studies, GA4 lead tracking for a family real estate business, and whatever messy problem lands on the desk after that.
Completed work leads. Anything unfinished says so.
One of Bank of Hawaii's first AI interns. Gathered AI use cases across the organization and built the repository, scoring model, and Power BI dashboard used to prioritize them. Summarized publicly at a high level.
AI Strategy · Power BI · Stakeholder Research
Seven years of participation data across a 469-participant, 64-team program, translated into dashboards UREC leadership used for scheduling, marketing, and retention planning.
Excel · Tableau · Stakeholder Reporting
Interactive Tableau dashboard on Seattle building permit data, built with an Applied Analytics SU team. Analyzed trends in construction activity and permitting, then presented findings to the club. Live on Tableau Public.
Tableau · Team Case Study · Public Data
Airbnb vs. hotel value across the Hawaiian islands: ~36,000 Inside Airbnb listings, island and neighborhood pricing, ratings, and zoning context, built into an interactive Tableau dashboard.
Tableau · Data Visualization
GA4, Google Tag Manager, Search Console, UTM strategy, and local SEO reporting for a family real estate business. Results publish after a full month of clean data.
GA4 · GTM · Search Console
Pricing distribution, submarket trends, and host recommendations from 25,000+ Tokyo Airbnb listings, analyzed in Python and visualized in Tableau.
Python · Tableau · Pricing Analytics
A scroll-driven atlas globe tracing Hawai'i to Seattle to Tokyo to Tuscany and home again. Orthographic projection, real coastlines, and great-circle route math written by hand in canvas.
Canvas · Scrollytelling · Vanilla JS
A lightweight, searchable reading shelf for honest notes on books I finished, paused, or plan to revisit. Built as a portable static site with local assets and no third-party JavaScript.
Vanilla JavaScript · Information Design · Static Web
This site, designed and built with Astro, Tailwind, and AI-assisted workflows, from brand system to deployment. The proof for the visual communication lane is the thing you're reading.
Astro · Tailwind · AI Workflow
Five lanes, one job: make things clearer. The work above is the evidence.
I structure messy data into dashboards, reports, and recommendations a team can act on. Core tools: Excel, Tableau, Python; currently deepening SQL.
Hands-on measurement work: GA4, Google Tag Manager, Search Console, UTM strategy, local SEO, and content performance. Currently applied to real estate lead tracking.
Enterprise AI use-case prioritization, scoring frameworks, and dashboards that translate AI ideas into business value people can actually evaluate.
Proven across organizations, from Scouts BSA to UREC to SUCUI: I've run programs, trained 40+ officials, and built the schedules, reporting, and playbooks that help people execute better.
I turn complex work into clear artifacts: dashboards, decks, short-form video, and case studies people actually understand. Tools: Photoshop, Premiere Pro, Final Cut Pro. This site included.
Start with the decision someone actually needs to make, then dig into the messy data, workflows, and business questions behind it. If the output doesn't change a decision, it isn't done.
Turn findings into clear stories: dashboards, decks, and recommendations in plain language. Data explains what's happening; talking to people explains why.
Ship practical systems, reporting, and workflows teams actually use. A dashboard a team opens twice a week beats a perfect model nobody touches.
Before this, I was one of Bank of Hawaii's first AI interns and co-founded a student credit union initiative that won $22.5K across two business plan competitions. The thread through all of it: helping teams make sense of messy problems and turn ideas into action.
More about me →If your team needs someone who can take a messy problem and hand back a clear decision, let's talk.