Data Scientist & Market Intelligence Engineer · Barcelona, Spain
I came to data science from an unexpected place: industrial electronics, hardware, and years of taking synthesisers apart to understand how they work.
That background changed how I build things. I don't just write code — I understand the domain it operates in. The Observatory is the clearest example of that: a market intelligence platform built by someone who has spent years buying, selling and repairing the instruments it tracks.
If you work on music tech, second-hand marketplaces, or any product where real market data matters — let's talk.
Market intelligence platform for second-hand synthesisers. Monitors 5 European marketplaces in real time, calculates fair prices from 23,000+ observations using a 96.5%-accurate ML classifier, and sends Telegram alerts when a listing drops below market value.
Frequency classifiers using MFCC + Multidimensional Scaling, automated transcription pipelines for long-form audio, reverse-engineered SysEx protocols (E-MU Ultra series, others); technical notes published at midimachines.wordpress.com.
When a workflow has friction, I write code to remove it. Tools built reduced manual work by 70% across environment migration, dataset creation and file processing.
The open dataset published from the Observatory. Historical price observations, CC BY 4.0.
If you work on music tech, second-hand marketplaces, or any product where real market data matters — I am happy to talk. Verifiable work: intellisynthprices.com — live platform, real data, real users.