Most data candidates over-prepare on technical questions and under-prepare on everything else and it costs them offers they were genuinely qualified for. I’ll walk through the simple AI tactics I used to identify my own gaps and blind spots, build a proper research brief on every company I interviewed with, and walk in with the kind of context that makes you sound like an insider rather than a stranger who read the website.
Alongside that, I’ll share how I rethought interviews entirely: how to get more of them, how to position yourself ahead of 90% of other applicants before the conversation even starts, and the small signals that consistently shift outcomes such as presenting your right to work upfront to remove friction, how your contact details quietly tell recruiters where you’re based, and why showing up better dressed than expected still moves the needle more than people admit.
This talk draws from my personal and learned experiences, trials and errors. Audience will leave with an AI-powered prep framework you can run before their next application, and a set of low-effort adjustments that have a disproportionate effect on your results.
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