Data scientist.
Builder of things
that work.

A decade turning messy problems into working systems — across experimentation, growth, and AI products. I write about what I learn along the way.

Data Science
Experimentation, fraud & growth at scale
Builder
LLM products and data tools — shipped and working
Writing
Thinking out loud about data and craft

Writing

All posts →
Handy Functions for Data Cleaning
Shortcuts for everyday data tidying -- an R package for common data cleaning and exploration tasks.
Foosball: An Elo Analysis of Office Games
Building an Elo rating system for office foosball, with a Shiny app for tracking rankings and match outcomes.

Things I've shipped

All projects →

About

I’m Kevin Pan — a data scientist turned builder.

I build AI-powered products, from LLM applications to data tools that help people get answers faster. Currently I’m a Senior Data Scientist on WhatsApp’s Growth team at Meta, and I build with Large Language Models on the side, including askdata.app for exploring data through natural language.

Background

My career path has been: data science → product → building. Along the way:

  • Growth Data Science at WhatsApp / Meta — Driving growth and integrity strategy, experimentation, and AI data tools for WhatsApp’s Growth team
  • AI Product Development at Strivr — Primary AI owner; built a context-aware LLM system for content generation and co-designed an LLM evaluation rubric
  • LLM Applications — Building custom content generation and data exploration tools with large language models
  • Product Data Science at Lyft — Led experimentation and data modeling on the Integrity and Delivery teams
  • Data Science Consulting — Helped organizations like BUILD define their North Star metrics and connect data to impact
  • Open Source — Contributed to Delta Analytics’ ML for Good curriculum and built R packages for data cleaning

Consulting

I help organizations build data and AI products — from defining what to measure to shipping working software.

  • LLM Application Development — Building AI-powered tools on top of your organization’s data
  • Data Strategy — Identifying the right metrics and connecting data to business outcomes
  • Prototyping & MVPs — Going from idea to working product quickly

Let’s talk

If you’re building new products — especially at the intersection of data and AI — I’d love to chat. Reach out at hello@kpan.dev.


Work

2016 - 2018
Delta Analytics / BUILD
Data Science Consultant

Helped organizations define North Star metrics, connect data to impact, and contributed to open source ML curriculum.

2018 - 2022
Lyft
Product Data Scientist

Led experimentation and data modeling on the Integrity and Delivery teams, focusing on user outcomes and understanding the why behind what we build.

2022 - 2024
Strivr
Senior Research Scientist / AI Developer

Primary AI owner; built a context-aware LLM system for content generation, co-designed a multi-dimensional LLM evaluation rubric, and owned product development end to end.

2024 - present
WhatsApp / Meta
Senior Data Scientist

Drive growth and integrity strategy, experimentation, and AI data tools for WhatsApp's Growth team, and designed the user identity model now canonical across Growth and Integrity.

2023 - present
Independent
AI Product Builder

Building LLM-powered products on the side, including askdata.app for exploring data through natural language.