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Showing posts with the label Recommendations

My Experience with Income Tax Return (ITR) Filing

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I once thought that if I know something (probably because I've learnt it somehow), I am saving money because then I don't have to pay someone to do that chore for me. This notion of mine has been smashed and boinked all around the place for the last couple of days. I am talking about filing my ITR (Income Tax Returns). Context In the past, during my school days, I have seen my parents getting irritated by the whole process. It was very cumbersome at that time- No online portals to make your work easy. ITR filing in India was a nightmare. I have seen my parents to delegate that task to professionals, who do it for a fee. The problem was, my parents never seem to mind that much about tax. I mean, they did moan about the atrocity that the Indian tax system is, but that's the extent of their outrage. I felt at that time, if they knew more on tax, they would be able to save more on taxes and also would be able to do proper tax planning. Oh boy, what a sweet dream that was! My Li

Points to ponder while buying your computer

Whether you are a student or working professional, the system that you use is of utmost importance in today’s world. Many a times a lot of us get confused by the plethora of options that are available or are advertised to us. Today, in this blog post, I would like to discuss very briefly about the kind of things that you should consider while you are going to buy your computing system. Just to point out, I would try to not name out any specific brands (Nobody gave me any money for endorsing them!😋) because there could be better or worse that I might not be aware of. Rather I would try to sketch out what things that might be pertinent to you before buying a laptop or desktop. The Purpose I know, it might sound cliche, but the main question you want answered is that for what purpose, you are buying your laptop/ system and you should forward from that answer. Let me try to give out few possible scenarios and then what should be the considerations. I am a Data Scientist in my working life