if you're an academic, the best time to bail out to industry was last year and the second best time is now
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eigenrobot Retweeted calm self seer 😇 🙃
Great question. 1. Get industry internships, consultancies, anything you can using your institutional affiliation as leverage. Start learning norms and building a resume to demonstrate that you'll onboard easily to full time.https://twitter.com/FeelsMcReals/status/1272960004547588099?s=19 …
eigenrobot added,
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Replying to @eigenrobot
I'm nervous about transitioning to industry after a decade of marketing myself towards the academy. My cv is mostly fellowships, conferences, papers, &c. Luckily, I refocused my dissertation focus to be on flooding risk/cost/infrastructure about this time last year.
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Replying to @NewtypeApologia @eigenrobot
But my coding skills in c++, stata, R and python are barely passable. I mostly write code that, while functional, is trashy, and I don't know the first thing about trying to seriously optimizing it. praying that someone wants to hire an econometrician who doesn't code well.
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Replying to @NewtypeApologia
You'll be fine unless you're angling for a software eng role :) Happy to do a pass on your resume before you shop it if you like!
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Replying to @eigenrobot
Like any good economist I'm falling for sunk cost and am determined to finish my dissertation this fall since I'm so close. If things turn south between then and now I may take you up on that offer.
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Replying to @NewtypeApologia @eigenrobot
in the meantime how does one begin to learn sql?
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Replying to @NewtypeApologia
1. Take whatever datasets you have 2. Figure out how to create a database to hold those data, postgresql and MySQL are fine, postgres probably closer to industry 3. To load datasets into R, get an R plugin that lets you query the database and rely on that
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There are many books with good overviews of database syntax etc and if you're already doing empirical work it's something where you can figure out the bulk of it in a few hours over the weekend
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Replying to @eigenrobot
a few hours? you've greatly overestimated my capacity to learn quickly, but thank you nevertheless.
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