The Journey
Move through the stops, then see the work below.
Drag · select a landmark · zoom with + and −
Honolulu
~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.
Seattle
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.
東京 · Tokyo
2024
A semester at 上智大学 (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.
Honolulu
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.
Seattle U · Experience By Doing → The LinkedIn post → BOH 2025 employee report →
Italy
August 2025
I have always wanted to go to Europe, so when this opportunity came along, I could not pass it up. Italy felt completely new compared with anything I had experienced before. I went in not knowing anyone, but I left making lifelong friends. The class brought together MBA students and younger undergrads. As a senior, I was somewhere in the middle: asking people who had already built careers for advice, while sharing some of what I had learned with students just starting out. At the family-run places, the care was impossible to miss. You could feel the pride, history, and personal care behind the product. Seeing that level of craft alongside companies operating at global scale made all the preparation work from spring and summer feel real.
Seattle
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 comes first, and anything still in progress is clearly labeled.
Operations Analytics
Eight seasons of participation data, turned into dashboards and a set of recommendations for scheduling, marketing, and retention.
Excel · Tableau · Stakeholder Reporting
Marketing Strategy
A solo, independent mainland growth strategy for Zippy's: Seattle-first market entry, stage-gated expansion, and a speculative campaign built around the orders people remember.
Marketing Strategy · Consumer Insight · Campaign Design
Analytics + Data
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
Analytics + Data
Airbnb vs. hotel value across the Hawaiian islands: 29,011 Inside Airbnb listings, island and neighborhood pricing, ratings, and zoning context, built into an interactive Tableau dashboard with a course partner.
Tableau · Data Visualization · Team Case Study
Analytics + Data
Pricing distribution, submarket trends, and host recommendations from 25,000+ Tokyo Airbnb listings, analyzed in Python and visualized in Tableau.
Python · Tableau · Pricing Analytics
Visual Communication
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
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.
I use AI to accelerate research, analysis, prototyping, and documentation while keeping the business question, source quality, and final judgment human-led.
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.
I co-founded a student credit union initiative that won $22.5K across two business plan competitions and spent four years helping run Seattle U's intramural program. 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.
