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Tetiana Ivanova – How to become a Data Scientist in 6 months a hacker’s approach to career planning

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Tetiana Ivanova – How to become a Data Scientist in 6 months a hacker’s approach to career planning

PyData London 2016

This talk outlines my journey from complete novice to machine learning practitioner. It started in November 2015 when I left my job as a project manager, and by April 2016 I was hired as a Data Scientist by a startup developing bleeding edge deep learning algorithms for medical imagery processing.

Who I am, my background and short summary of my story. Here I will list the steps I personally took to achieve the goal I had.

Why I chose a “hacky” way to enter this career path. First mover advantage, why getting a degree doesn’t always improve your career prospects. Possibly a rant on the signalling function of formal education and how that is rarely aligned with a relevant practical skill set. Some stats to back it up (best career success predictors). Examples of hacking bureaucracies/social hierarchies from my experience and elsewhere.
List of things not to do and common cognitive pitfalls.
Networking for nerds – how to do it right.
Time management for chronic procrastinators – how to plan a self-guided project. Some notes on psychology of time discounting and need for external reinforcement, with autobiographical examples.
You don’t need a PhD or even a masters to do machine learning. On taking calculated risks and especially calculated exits from one’s comfort zone. Some notes on soul searching and how to choose a career that is also a passion. Reading list.

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00:04 hello everyone thank you for coming to

00:07 my speech today so some of you may know

00:11 me from the London machine learning

00:13 practice Meetup

00:14 can I have a show of hands up who's been

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