Summary
Curtis Thompson is an Integrated Analytics Engineer with a decade of experience building data pipelines, machine learning models, and analytics tools across retail, media, and health sectors. He has delivered production ML and ETL solutions at Asda and Brandwatch, freelanced on client-specific models and scrapers, and now supports 30+ products at The Access Group used by hundreds of organisations. A Warwick MEng graduate, he combines practical web-development experience (JavaScript, PHP) with advanced Python and cloud analytics skills, and has an academic track record in lyric-based music genre classification presented at research conferences. Known for turning slow, qualitative processes into fast, metric-driven evaluations, he enjoys dissecting unusual datasets—his portfolio ranges from music-analysis dissertations to town-similarity studies in Luxembourg. Always curious and community-minded, he pairs technical delivery with clear documentation and stakeholder-facing reporting.
10 years of coding experience
4 years of employment as a software developer
GCE Advanced Level, GCE Advanced Level at Queen Elizabeth and Wyggeston I College, Leicester
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at University of Warwick