Frank Fu, data-centric product dreamer. Goal oriented, total clarity, real adoption.

— DATA-CENTRIC PRODUCT DREAMER
SCOPE · EVIDENCE · ADOPTIONSCROLL TO VIEW MORE ↓OPEN TO WORK©2026
01 — ABOUTLOS ANGELES, CA

I build the thing the analysis points to. Finding the cause is half the job. The other half is deciding what's worth fixing and shipping something people will actually use: a model, a dashboard, an agent, an app. The best ones stop being tools and become how the work runs.

  • MASTER OF BUSINESS ANALYTICS2509-2612UCLA ANDERSON SCHOOL OF MANAGEMENT
  • APPLIED STATISTICS & UX DESIGN2109-2505UNIVERSITY OF TORONTO
CURIOSITYLEARN.
02 — EXPERTISEWHAT I WORK WITH
01DATA ANALYTICSSQLPythonDatabricksFabricMedallion ETLSemantic modeling
02MACHINE LEARNINGscikit-learnRandom forestXGBoostFeature engineeringCross-validationClustering
03AGENTIC DEVLangGraphLLM APIsSkillsEvalsOrchestration
04OPTIMIZATIONGurobiInteger programmingForecasting
05EXPERIMENTATIONA/B testingCausal inferenceRDD
06VISUALIZATIONPower BIDAXTableauGA4
07PRODUCTPRDsUser flowsFigmaAgile
08FRONTEND/BACKENDReactNext.jsAPIs
09PRODUCTIVITYMicrosoft 365Genie SpacePower Automate
10AI ENGINEERINGAI governanceMCPRAGContext engineeringEval loop

PROJECTS

(01)BIOMARINEND-TO-END SUPPLY CHAIN INTELLIGENCEENTITY RESOLUTIONSEMANTIC MODELINGAGENTIC REPORTING
(02)MOOBOXAI-ENABLED CRM — PRODUCT & STRATEGY LEADLIFECYCLE MODELSEGMENTATIONFORECASTING
(03)UCLA ANDERSON SCHOOL OF MANAGEMENTLEAN OPS SIMULATION — PRODUCT BUILDREACT APPUSAGE TELEMETRYADAPTIVE SCENARIOS
(05)COMPETITIVE ANALYSIS AGENTMARKET INTELLIGENCE — AUTOMATIONSCOPINGSOURCE DESIGNEVAL PLAN
04 — APPROACHFIVE RULES
  1. 01WHAT, WHY NOW, SO WHATThree questions before I open anything. If I can't answer why now and so what, I'm not ready to start.
  2. 02REBUILD, DON'T PATCHAdding another layer to a broken workflow just makes it heavier. The spreadsheet didn't need macros. It needed to stop being a spreadsheet.
  3. 03A NUMBER ISN'T AN ANSWERA status figure says what happened. I don't hand it over until it also says why, and what to do about it.
  4. 04ADOPTION IS THE PROOFDelivery isn't the finish line. I'd rather measure whether people came back to the thing than whether I shipped it on time.
  5. 05SHIP, LEARN, ITERATEShipping is how I learn what I built. Version one is a hypothesis. I rebuild it on what people do with it, not what they say about it.
05 — STUDIES
WHAT I TOOK APART

Coursework and independent analysis.

06 — CONTACTOPEN TO JAN 2027 ROLES
SAY HELLO