Liam Hamilton

Enterprise data strategist and full-stack startup founder.

Timeline

2017 – now
    • Founder

      Jan 2025 – Present

      A language learning product combining real-world content with structured vocabulary and conjugation practice.

      • Solo founder of a revenue-generating language-learning app with 3,000+ monthly active users.
      • Built and shipped web and iOS apps on a React Native frontend with a Node.js and Python backend.
      • Released a Chrome extension for language learning through streaming platforms like Netflix and YouTube and reading articles.
      • Built an LLM content pipeline producing a multilingual dictionary with lemmatization and definitions, using schema-constrained output, batched requests for cost control and evals for quality control.
      • Built the product's data and analytics infrastructure with Firebase, Cloudflare R2, BigQuery and Google Analytics.
      • Grew acquisition through creator partnerships and attribution tracking.
  1. Ernst & Young

    AI & Data practice
    • Senior Consultant

      Aug 2023 – Oct 2025

      Data strategy and governance work across telecommunications, consumer and other sectors.

      • Scaled a Data & Reporting Center of Excellence across the Finance, Procurement and Supply Chain functions of a telecom client.
      • Established an executive data governance committee and guided tooling decisions through final approvals.
      • Defined governance ownership and stewardship for 39 data domains and prioritization of the organization's data-products.
      • Assessed the downstream data impact of an ongoing ERP migration across data products, data domains and systems.
      • Evaluated master-data-management requirements and helped select mastering approaches for three core data domains.
    • Staff Consultant

      Aug 2022 – Jul 2023
  2. Charter

    Spectrum
    • Analytics & Reporting Associate

      Feb 2022 – Aug 2022

      Reporting and analytics for the marketing department.

      • Built 18 Tableau dashboards from 27 SQL tables to give marketing leadership a consolidated view of company wide customer metrics.
      • Developed monthly performance forecasting models across sales channels, product lines and marketing methods.
      • Led a cross-functional effort to deliver a cost-efficiency executive report comparing spend across marketing channels and product lines.
    • Analytics Intern

      Jun 2021 – Aug 2021
  3. University of Connecticut

    • M.S. Business Analytics

      Dec 2020 – Dec 2021
    • B.A. Economics & Political Science

      Aug 2017 – Dec 2020