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Most of us want to change our identities. And we usually have an idealized version of ourselves that we aspire to become\\u200a\\u2014\\u200aone who\\u2019s fitter, smarter, healthier, more famous, wealthier, more centered, or whatever.

But you can\\u2019t change your identity in a fundamental way without also changing what you do in your day-to-day life. You don\\u2019t get fitter without working out regularly. You don\\u2019t get smarter without studying regularly.

To change yourself, you must first change your habits. But how do you do that?

Recently, books like Atomic Habits and Deep Work have focused on answering that question in general terms, and they\\u2019re definitely worth reading. But habit formation in the context of data science, analytics, machine learning, and startups comes with a unique set of challenges, and deserves attention in its own right. And that\\u2019s why I wanted to sit down with today\\u2019s guest, Russell Pollari.

Russell may now be the CTO of the world\\u2019s largest marketplace for income share mentorships (and the very same company I work at every day!) but he was once\\u200a\\u2014\\u200aand not too long ago\\u200a\\u2014\\u200aa physics PhD student with next to no coding ability and a classic case of the grad school blues. To get to where he is today, he\\u2019s had to learn a lot, and in his quest to optimize that process, he\\u2019s focused a lot of his attention on habit formation and self-improvement in the context of tech, data science and startups.