christopher yee

about

Howdy, you can call me Chris!

I am always open to hearing about new opportunities so please get in touch, I would love to hear from you!

Uber

Web Intelligence Lead

  • Merlin: [in progress] (2023)
  • Titan: released internal URL-level analytics platform that synthesized internal & external data for performance marketing reporting, diagnostics, optimization, and insights (2022)
  • uTRAQ: launched a custom web intelligence platform which centralizes data, emphasizes insight speed, maintains a bias for action, and places a premium on UX functionality (2021)
  • Began new adventure at Uber in the SEO Intelligence division - focused on internal product development with the help of software engineering, data science, and adtech (2020)

FT Optimize

Director of Optimization

  • Lights Out: deployed a fully automated SEM bidding system that changed over 1M bids per day (2020)
  • Nergui: established a series of new bidding algorithms which utilized probabilistic optimization instead of the standard deterministic approach used by the industry (2020)
  • Cartwheel: built internal Bayesian A/B testing system which measures a battery of performance metrics from top to bottom of the conversion funnel (2019)
  • Obsidian: developed unique bidding algorithm that relied on supervised & unsupervised machine learning methods to address low volume data (2019)
  • Blue Fox: introduced contextual bidding algorithms to make adjustments on device, location, ad schedule and custom audiences (2019)
  • Sandstone: rewrote core FTO bidding algorithms to significantly improve operational efficiencies (2018)
  • Accepted new position as FT Optimize’s Director of Optimization - focusing on data science, paid search marketing and software development (2018)

Square

SEO & CRO Lead

  • Monocle: collaborated with Square’s Data Science team to launch “related articles” module which recommended content based on the predicted intent funnel of the user (2018)
  • Leaky Bucket: created the central framework to automate an intent-based content strategy using keyword-level data which is still used today at Square (2017)
  • Breadcrumbs: prototyped a machine learning model for Square’s sales team which parsed customer service call logs to predict their audience segment and problem areas (2017)
  • Acquired new responsibilities as SEO & Experimentation Lead at Square (2017)
  • Shakespeare: prototyped and launched internal tool to understand keyword intent at scale (2016)
  • Phoenix: introduced next generation internal SEO analytics suite and remains the most used dashboard in the Marketing org (2016)
  • Accepted new position at Square as SEO Lead (2016)

American Eagle Outfitters

Sr. Marketing Manager, SEO

  • Left HP and joined American Eagle Outfitters as Sr. Marketing Manager, SEO (2015)
  • Began applying unsupervised machine learning techniques to SEO keyword research projects (2015)

Hewlett-Packard

SEO Marketing Manager, WW & AMS

  • Promoted to SEO Marketing Manager, WW at Hewlett-Packard (2015)
  • Accepted position at Hewlett-Packard as SEO Marketing Manager, AMS (2014)

SEOgadget

Organic Search Strategist, US

  • Joined SEOgadget (now Builtvisible) as Organic Search Strategist for the US office (2013)

Macys

Assistant Marketing Manager, SEO

CafePress

SEO Analyst