
Jieyi Deng
Data Scientist,
I’m a Data Scientist who takes ambiguous growth and product problems from framing through analytics or machine learning and into product and engineering delivery. My work spans risk prediction, recommendation, growth measurement and agentic analytics.
I like problems that arrive unstructured, where the first job is deciding what the question actually is, and the second is finding out whether the data can answer it.
Projects
Agentic Knowledge Vault on GitHub
github.com/Jieyi-Deng/agentic-knowledge-vault
A provenance-first knowledge system for people and agents. It keeps source captures immutable, links every processed note back to its evidence and uses structured metadata to make retrieval reliable.
- Agent workflow
Jieyi Skills on GitHub
github.com/Jieyi-Deng/jieyi-skills
Executable agent workflows for capturing sources and turning vetted notes into offline study material. The scripts standardize the steps that should remain deterministic rather than improvised.
- SKILL.md
Writing
All writingMore Than Prompting
SKILL.md turns a prompt into an operational protocol. What that looks like in advertising analytics, where a fluent answer built on the wrong metric is worse than no answer at all.

My 2025 with ChatGPT: What a "Year in Review" Doesn't Show
I exported a full year of ChatGPT history and analysed it. The conversation tree holds more than the official recap shows — including three different URL fields that reveal how retrieved sources actually reach an answer.

About

Born and raised in China and based in Seattle. Outside work, I’m usually taking photos, hiking or finding another reason to look toward Mount Rainier.