Personal Statement For A Career In Civil Engineering

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"Everyone has an idea. But it 's really about executing the idea and attracting other people to help you work on the idea." - Dorsey.
I am passionate about the ideas stuck in my head and dream to give them a shape by doing further research and study in related fields, which makes me ‘a student to the end of my days’: the obvious direction being curiosity towards exploration.

Academic Background:
Fortunately, I had a good early education and as I grew, my interests and ability were inclined towards the physical nature of the universe. Science unravelled many a mystery for me; math challenged me and gave me joy. Learning became part to my life.
My propensity towards applied science drove me to opt for math, physics, biology and chemistry
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Among 107 students in my department I ranked 5th, with CGPA = 8 out of 10. I received merit scholarships for two consecutive years. I took many quantitative and computing courses throughout my degree path, including Engineering Mathematics (M101), Statistics and the theory of Problems (M201), Introduction to Analysis (M301), Complex Analysis and Numerical Analysis (M401), Introduction to computing and algorithms (CE201) and Computing practice & database (CE203). My performance in mathematical and programming courses was excellent (98…show more content…
But at the end of the day, any corporate job is about delivery excellence and the time for going deep in the subject is lacking. Jack Ma once said: “Sooner or later you 'll regret it if you spend all your time at work”. I too believe, it’s not 9 to 5 when greatest things in our life happen but the real changes in our life come from what we do from 5 to 9, after office. So I started my bit of work & research in information science, data and business analytics space two years back. I joined various MOOC and certification programs from Coursera, Data Camp, Khan Academy and Udemy. Through these programs, I learnt some exciting techniques like Decision tree, Regression analysis, Linear regression, Time Series, Neural Networks and technologies like Hadoop, Big-Data etc. I took a special interest in learning R as it is widely used in
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