Maya Alvarez

Data & Methodology Lead

Mexico City, MXAt Howsociable since 2022

Background

Maya owns our 30-day retention tracking framework. Before joining Howsociable she spent three years analyzing audience-growth data at a creator-economy analytics firm. She's responsible for the five-category scoring rubric (quality 30%, speed 20%, retention 25%, support 15%, pricing 10%) and for the weekly snapshots we take on every active order. Our scoring is only as defensible as her instrumentation.

Credentials & experience

BSc Statistics, UNAM (2018)
DataCamp Professional — Data Scientist track
Designer of Howsociable's weighted scoring rubric

Areas of expertise

Retention analysis across 30-day windowsWeighted scoring methodologyFraud-rate detection in bot vs real accountsStatistical significance for small test samples

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