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How Did Data Science Contribute During Pandemic?

The Covid-19 has been a battle of technology with nature, while the world was already enjoying a high-tech lifestyle taking about nature being understood well, robot taking care of all the needs, we thought we didn't need anything supernatural to decide our lifestyle, we can create our own climate, crops don't need rain anymore, water can be artificially created, no more dependence on fossil fuels for energy, fight against the unprecedented pandemic has slowed us down to start thinking from the base again.

Yes, one of the fanciest jobs of the decade being "Data Scientist" meant almost "Know It All". But it also means the availability of data is the prime need. Can data science work without data? Of course not. But yet played a role since the first data point found. 

Most of the assumptions made during our models seemed to not work as we saw more and more of these pandemic days. It's now clear, that there hasn't been such event in the past where our machines could have learned this behavior from but the good thing is we are prepared with the best storage and structures in which we can store this new data set to make the maximum out of the hidden information. Despite all the failures due to preconception of how the new calamity would impact, this evolving field has quickly learnt to cope with the changes and contributed to various applications.
(To be continued)

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