Data Science


  • Predicting the past: how big was the internet?

    Ordinarily, data scientists spend a lot of time trying to predict the future. Time‑series prediction, recommendations, even next‑token‑prediction…they’ve all broadly got the same flavor. Recently, however, I came across a problem with a distinctly different taste, and I’d like to share it with you today: predicting the past. Surely predicting the past is pretty easy, right?…

  • The WooCommerce Plugin Playbook: What Successful Stores Install, and When

    Most plugin advice online is opinion‑dressed‑as‑fact: a list of “top 10 must‑have WooCommerce plugins,” usually written by someone selling one of them.  We looked at hundreds of WooCommerce merchants who started a store in the past 12 months, and found a clear four‑phase pattern. At the same four points in their growth, stores reach for…

  • Data Talks & Conferences Recommended by Automatticians

    This post highlights specific data conferences and talks recently recommended by Automatticians (employees at Automattic).  Staying informed is key in the fast-evolving field of data science. At Automattic, we value continuous learning and regularly attend conferences and talks that advance our understanding and skills.  This post shares a curated list of events and talks that…

  • From Support to Data Science and Analytics: My Journey at Automattic

    “Is it possible to transform a role in customer support into a data science career?”  This question, which once seemed like a distant dream, became my career blueprint at Automattic. This post describes the journey to a data wrangler in a tale of continuous evolution, learning, and adaptation.