AOL CEO Tim Armstrong, for instance, makes his executives spend 10 percent of their day, or four hours per week, just th

Moreover, I realized while I’m comfortable with coding in Python/R and getting my data using SQL, my scripts often look dry and often require a lot of refactoring afterward. I get things done with my code but sometimes my notebooks are not in a state I’m proud to share with other people.

Einstein said if you can’t explain something simply, you don’t understand it well enough. Try to explain something simply to someone every day, it will help you to understand it better yourself.

I’m one of those data enthusiasts who had a bit more math in university than your average programmer and who happen to decide I want to use code to do some data magic to make some business people happy.

A growing body of evidence shows that taking regular breaks from mental tasks improves creativity and that skipping breaks can lead to stress, exhaustion, and creative block.

Putting off our responsibilities is easy. Complaining is easy. Both are as natural to us as breathing. But what good has either ever done for anyone in the long run? Sure, shaking your fist at the sky and venting your frustrations can feel liberating in the moment, but has it ever changed your circumstances for the better, solved your problems, or made you happier? Has procrastinating ever made your life less stressful and more efficient? I’m willing to bet the answer is no. This is why we must follow Aurelius’ lead and focus on the important tasks in front of us. If we can win that battle first, the rest of the day will be a breeze.

Luckily, I get to make use of a lot of my scientific acumen and problem-solving in approaching business challenges with data. Two years in as a data scientist, I realized I’m not as well versed as I thought I am with software and other tech stacks that can make my life as a data professional much easier and effective.

An open-source Python library for working with n-dimensional arrays and offering an extensive set of tools for numerical operations to achieve enhanced performance and faster execution times.

Write down what you learn. It doesn’t have to be pretty or long, but taking a few minutes each day to reflect in writing about what you learned is sure to boost your brainpower.

An open-source Python library for working with n-dimensional arrays and offering an extensive set of tools for numerical operations to achieve enhanced performance and faster execution times.

From his stepfather Antoninus, Aurelius learned how to work long hours and “stay in the saddle.” He never shirked hard work or avoided his most unpleasant duties. He had a job to do and didn’t complain about it. “Never be overheard complaining,” he wrote, “not even to yourself.”

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became even tougher to deal with because I mistakenly believed I shouldn’t discuss it with others. CircleUp had just gone through our pivot and we were in the middle of raising that first fund and the parent company round. At the time, I worried that the team would use my diagnosis as an excuse to throw in the towel, that my health would become a distraction, cause the company to fail and make things that much worse. I told the board and my co-founder about my diagnosis, but no one else at the company knew. I even hid the information from all but a few friends, fearing that word might get out. In retrospect, I think I would have brought our company closer together by being vulnerable and authentic, and I certainly wouldn’t have felt as lonely.

Whenever I try to think of ideas on how to approach a problem with data science, I always get stalled by the brain-racking step of translating it into a form that can be consumed by other people (my stakeholders).

I’m trained in the natural sciences. To be specific, I did my undergrad in Chemistry and finished a master’s in Bioprocess Engineering. I had fun researching on natural products and designing composite biomaterials.

If there’s one thing that frustrates me about the data science process, it would probably be the fact that I could spend hours (and maybe days) building and refining a model only to realize putting it in production is another ton worth of work and requires getting the help of more specialized people.

I know I need to become more technically proficient, in a holistic manner. I want to become knowledgeable to a point I can engage with my more technical counterparts at an almost equal level.