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, with a plain-language read and the full technical report for each.
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Serious data analysis stayed out of reach for small businesses because of cost, not need. AI agents change that arithmetic. Here is what it now costs.
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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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Sharing what you learn as you learn it is the cheapest marketing there is, and the only kind that still works when nobody has heard of you yet.
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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.