Blog
Thinking out loud about data science, AI agents, and building things that ship.
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One unchanged pipeline — load, profile, test, model, explain — run across ten open datasets. Each section pairs a plain-language business read with the full technical report.
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The reason serious data analysis stayed out of reach for small businesses was cost, not need. AI agents change the arithmetic — and open the door to the millions of companies that were priced out.
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Research, write, send, check, recover — an AI agent ran my whole cold-email pipeline using Claude, Resend, and a domain I already owned. Cost: zero.
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Running a Recency-Frequency-Monetary breakdown on an open orders dataset — and what it says about where revenue really sits.
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The unglamorous corner of India's job market that the big portals forgot — and why AI finally made it worth solving.
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Build in public: share the learning, earn the trust, and the rest follows.
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Synchronous, blocking code review is the biggest tax on shipping. Make review asynchronous — and trust the tests.
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Why 'one skill per use case' is going to collapse under its own weight — and the three-tier model to build instead.
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A room full of people thinking out loud, all at once, is the worst environment for thinking. Write first. Read first. Then meet.