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Case Studies

Technical deep-dives into the engineering decisions behind the Observatory. Real problems, real data, real trade-offs.

"Why percentiles, not averages: the statistical reasoning behind fair price computation"

"How the Observatory calculates P25/P50/P75 fair prices from noisy, sparse, multilingual listing data — and why the mean would be the wrong statistic for a second-hand synth market."

statistics data-engineering pricing methodology python
2026-05-12
7 min read
"Building a multilingual classifier for noisy synth listings"

"How a three-layer hybrid architecture — semantic rules, TF-IDF logistic regression, and post-process correction — classifies second-hand synthesiser listings across five European languages, reaching 96.5% accuracy."

ml nlp multilingual classification python
2026-05-12
9 min read
"GDPR-compliant data aggregation at the Observatory"

"A technical walkthrough of the Observatory's compliance architecture: PII audit and purge pipeline, robots.txt watcher, GDPR-by-design Telegram bot, and what EU data law actually looks like in a scraping project."

gdpr data-engineering compliance eu-law privacy
2026-05-12
9 min read

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