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jcval94/README.md

Proyectos principales

🌲 InsideForest

Supervised clustering interpretable: segmenta población guiándote por un target (fraude/churn/etc.) y devuelve reglas claras + métricas por segmento.

  • Segmentación guiada por objetivo (no clustering “ciego”)
  • Interpretabilidad utilizable (reglas compactas)

github.com/jcval94/InsideForest

📈 Movilidad Social (MX)

Proyecto reproducible para medir y comunicar movilidad social con métricas, matrices de transición y reportes — con transparencia metodológica y uso responsable.

  • Reportes compartibles con no técnicos
  • Métricas bien documentadas (sin vender causalidad)

github.com/jcval94/movilidad_social_mx


Trabajo conmigo

Si tu equipo quiere implementar esto con rigor (reproducibilidad, documentación y resultados):

  • Workshops: Interpretabilidad aplicada a ML
  • AI (1–2 semanas): riesgos (leakage/drift), estabilidad, setup recomendado
  • Implementación (2–6 semanas): integración, CI, reportes y resultados

Email: jcval94@gmail.com
Calendar: https://cal.com/jcval94


Sponsors

Si te sirve lo que construyo y quieres empujar:

https://github.com/sponsors/jcval94

Menos ruido, más señal. Reproducible, interpretable y presentable.

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