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ubukhary

19 karma · joined January 25, 2020

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ubukhary··on [dead]
Start with the customer and work backward. Focus on controllable input metrics like size availability....
ubukhary··on Technical Expertise Isn't Enough: How to Become a High-Leveraged Engineer
I want to be honest, everyone is different and has different context.
ubukhary··on Technical Expertise Isn't Enough: How to Become a High-Leveraged Engineer
To truly excel, you need additional three key attributes: great communication skills, business sense, and domain understanding. This worked for me and may work for you as well.
ubukhary··on They're trying to get me kidnapped and tortured, but Twitter doesn't care
question is who misused the twitter the most, its not who is the cult or not.
ubukhary··on They're trying to get me kidnapped and tortured, but Twitter doesn't care
its interesting to see supporter of the previous govt who silenced most of the journalists and activists from twitter with heavy handed law enforcement tactics, now claiming to be a freedom of speech proponent

For those who do not know, PTI owned and operated largest bots and trolls network who habitually abused people who ever would disagree with them. Consider them TRUMP supporters like mentality people in Pakistan

ubukhary··on Story telling for technical presales engineers
How engineers can become great at sales
ubukhary··on The medieval habit of ‘two sleeps’
This was practiced in Muslim world as well. We have a mid night prayer called tahajjud.
ubukhary··on How often people copy and paste from Stack Overflow
With AWS sagemaker like services MLops is also getting easier. Yes data engineering still requires significant work. I personally think people with business and technical sense will remain relevant. business sense -> understand or identify right problems. Technical sense -> can find quick solutions, most of the time just with co-code or autoML tools
ubukhary··on How often people copy and paste from Stack Overflow
It appears data scientists copy the most, which implies the one who automates others' work will get automated out sooner than we all think.

What data scientists should learn to stay relevant in the next 3-5 years?