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Han-co

Credit & finance data scientist in Japan. I write about why credit underwriting bends the usual ML rules — selection bias, calibration, validation.

Joined on Jul 5, 2026

Han-co

Sep 3

I tested Google's TimesFM-3: the zero-shot claim holds, the new features don't

#machinelearning #datascience #python #ai

10 min read

Han-co

Aug 4

You must be able to say why it decided: interpretability and fairness in credit

#machinelearning #datascience #fairness #fintech

7 min read

Han-co

Jul 10

Deployment isn't the finish line: validating and monitoring credit models

#machinelearning #datascience #mlops #fintech

5 min read

Han-co

Jul 7

Where do rejected applicants go? Reject inference and rejectkit

#machinelearning #datascience #python #opensource

6 min read

Han-co

Jul 7

Beyond prediction: causal inference and experiments in credit

#machinelearning #datascience #causalinference #fintech

7 min read

Han-co

Jul 5

Can Google's TabFM beat GBM in credit? I tested it on public data

#machinelearning #datascience #ai #fintech

8 min read

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