“What do you do for a living?” is often the first question I ask people I meet. For a good reason. What you do for a living often strongly correlates with how you think and how you approach problems. Not so long ago, a dog bit me. Fortunately, nothing bad happened, just a small bite wound and a big bruise. As I told friends and family about the incident, I got different reactions, and they matched quite well with their professions:
Haha just know I was arguing with someone because in my country there's no standard norm for some thing, and my argument was "well just inherit from EuropeanNorm and overwrite what's needed!"
If you are a data scientist, what do you answer to the question of “What do you do for a living”? I found it complicated as people get bored or dissapointed as I talk about data or statistics. Any tips to sound interesting?
Good question. Whenever I worked on something domain-specific, I focused my explanation on this. For example, I answered that "I analyze data from patients with rheumatic diseases" was my explanation at one point in time.
I general, saying "analyzing data" seems to pass as an explanation for many people, but it didn't spark much excitement 😅
I was just thinking about this last night because I’ve found I take an engineering mindset for everything I do. It’s not great for raising kids 🤣
As a computer scientist with a bias towards seeing algorithms everywhere (which is not necessarily a god thing) this resonated with me a lot.
We need to be aware of our biases at the same time. You know, like a profiler or debugger 😂
Haha just know I was arguing with someone because in my country there's no standard norm for some thing, and my argument was "well just inherit from EuropeanNorm and overwrite what's needed!"
If you are a data scientist, what do you answer to the question of “What do you do for a living”? I found it complicated as people get bored or dissapointed as I talk about data or statistics. Any tips to sound interesting?
Good question. Whenever I worked on something domain-specific, I focused my explanation on this. For example, I answered that "I analyze data from patients with rheumatic diseases" was my explanation at one point in time.
I general, saying "analyzing data" seems to pass as an explanation for many people, but it didn't spark much excitement 😅