I am an analytics leader who turns complex commercial problems into measurable operating systems.
At Shopee, I lead Commercial Data Analytics and FP&A work spanning decision support, investment planning, forecasting, and applied AI. I am also an MBA candidate at Northwestern University's Kellogg School of Management.
- Increased AI adoption from 0% to 95% across a roughly 100-person data organization in four months.
- Reduced turnaround time for ad hoc analytics requests by 65% through AI-assisted workflows.
- Improved forecast accuracy from 85% to 96% while managing planning for a $1.5B annual investment portfolio.
- Built a factory-to-consumer channel from launch to 20,000 daily orders in six months.
- Designed a $50M annual co-funded voucher program that reduced platform subsidy by 18%.
A live product that consolidates M7 admissions events into one searchable workflow. It includes user shortlists, calendar exports, AI-assisted event extraction, a lower-cost Playwright pipeline, and 53 automated tests.
Product focus: user discovery, scope decisions, operating model, maintainability
Live site: zerowing113.github.io/mba-events-tracker
An end-to-end decision-support prototype for bookstore inventory planning, from exploratory analysis and feature engineering to model comparison, FastAPI serving, and a Streamlit interface.
Analytics focus: problem framing, predictive modeling, model evaluation, deployment, limitations
A five-person VietAI prototype that routes Vietnamese shopping intents, retrieves from a 136-product catalog, and generates answers with LlamaIndex, Pinecone, Gemini, and Streamlit.
My contribution: expanded intent classification and agent orchestration, built the Streamlit conversation interface, and refined prompts and configuration
Product focus: retrieval quality, intent routing, recommendation experience, team delivery
An individual computer-vision project that combines garment conditioning, identity conditioning, face refinement, and segmentation in a reproducible ComfyUI workflow.
Product focus: workflow design, failure analysis, responsible use, prototype limitations
- Product strategy grounded in customer and operating problems
- Analytics leadership, KPI design, forecasting, and investment planning
- Applied AI adoption with measurable workflow impact
- Cross-functional execution across commercial, finance, data, and engineering teams
- Python, SQL, experimentation, predictive modeling, and data storytelling
I am especially interested in Product Manager and Data Analytics Manager roles where product judgment, analytical depth, and operating leadership matter together.