Here I am. Official application to Cornell's College of Engineering. I think back to my early childhood, where it all began. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an Original Essay Math, music, and science were all part of my earliest memories. My dad always gave me information about science in the area and showed me fun number tricks. There was always an ongoing discussion in my family about how things work and thus, it sparked my initial interest in science. My fascination with the roots of engineering was further fueled by the toys and books I was exposed to early in my life. Here I started dreaming of becoming an engineer. My school's recommendation, based on my demonstrated intellectual abilities in the classroom, was to take a WISC IV test. Based on my FSIQ score of 144 with a percentile of 99.8%, I was accelerated one year forward in Year 4. It was in Year 6 when I was first exposed to learning platforms online like Coursera and EdX and have undertaken some advanced activities. mathematics courses. During my early years of high school, I was part of a school team that participated in the “The da Vince Decathlon” competition, placing 2nd nationally. I was accelerated for the second time in middle school. As science itself split into different streams, I found myself increasingly drawn to physics. I challenged myself to take advanced maths and physics as well as an engineering maths subject at university level in the same year 11. In studying the applications of maths and science, my passion for physics and maths slowly evolved into engineering . My interest in computer science came from the elementary level courses I took during my primary school years. Scratch gave me first-hand exposure to programming. Later in high school, I took additional courses from online learning portals on programming and database concepts. These courses helped me recognize the power of computing and the depth of computing. This year I had the opportunity to work as an intern on a research project with Dr. Jennifer Flegg. This is a one-year project based on modeling the spread of infectious diseases. The goal was to understand the basis of deterministic and stochastic modeling in relation to the Ebola disease. I had to use my programming and mathematical skills to interpret the dynamics of Ebola spread in the population and how the two types of models can reveal the mechanisms in detail. At the heart of this internship was exposure to the applied side of mathematics and computer science. I learned the tools of applied mathematical techniques needed to address various problems encountered in real-world modeling and to reduce real-world problems into mathematical solutions. This internship helped me understand that such real-life problems can be mapped by mathematical patterns and be modeled accordingly. Likewise, chaos can be interpreted in a similar way. To solve such problems, in addition to mathematical knowledge, massive and efficient computational skills are required. Scientists and engineers rely on this process more than ever to guide their experimental work. Mathematical modeling also introduced me to machine learning, artificial intelligence, and data science. My strengths in problem solving, logical analysis, and algorithm creation are strictly.