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Indie Quant is a Medium-based data science and AI blog that publishes approachable explainers and tutorials. The articles cover topics such as time-series clustering, model interpretability, MLOps, synthetic data for privacy, and AI agent design. Authored by Kevin Asuquo, the content is freely accessible and also linked to the author's personal blog and Substack.
AI named IndieQuant in January 2026.