1 hr 2 min

Getting to the “science” in data science w/ Sarah Krasnik, data consultant & advisor The Sequel Show

    • Technology

What career path do you go down when blood churns your stomach? Data, of course. That’s where this week’s episode with data consultant and advisor, Sarah Krasnik, started: discussing how her exposure to cognitive science at John’s Hopkins (paired with a squeamishness for blood) left her looking for another way to influence people’s perception of the world with logic and information. So, she pursued data science.

Leading a data engineering team at PerPay – an all-in-one FinTech app providing underserved consumers with an easy way to make purchases, pay over time, & build credit – inspired Sarah to jump into freelance consulting work so she could start hacking away at some side projects. Because of that work, she’s gained knowledge in tons of different data-related areas.

So, if you enjoy some healthy debates and hearing opposing opinions, you’ll like this episode. Is data science really a science? What do you think about the no-code movement? Is it feasible for UI to be improved with “power features”? Listen in as we tackle all this and more.

What career path do you go down when blood churns your stomach? Data, of course. That’s where this week’s episode with data consultant and advisor, Sarah Krasnik, started: discussing how her exposure to cognitive science at John’s Hopkins (paired with a squeamishness for blood) left her looking for another way to influence people’s perception of the world with logic and information. So, she pursued data science.

Leading a data engineering team at PerPay – an all-in-one FinTech app providing underserved consumers with an easy way to make purchases, pay over time, & build credit – inspired Sarah to jump into freelance consulting work so she could start hacking away at some side projects. Because of that work, she’s gained knowledge in tons of different data-related areas.

So, if you enjoy some healthy debates and hearing opposing opinions, you’ll like this episode. Is data science really a science? What do you think about the no-code movement? Is it feasible for UI to be improved with “power features”? Listen in as we tackle all this and more.

1 hr 2 min

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