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 Should Not Be Banned”? Get an original essay Math, music, and science were all among my earliest memories. My father was always giving me information about science in my surroundings while showing me fun digital tricks. There was always a constant discussion in my family about how things work and that 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 life. Here I started dreaming of becoming an engineer. My school's recommendation, based on my intellectual abilities demonstrated in class, was to take a WISC IV test. Based on my FSIQ score of 144 with a 99.8% percentile, I was accelerated a year early to 4th grade. It was in 6th grade that I was first exposed to online learning platforms such as Coursera and EdX and undertook a few advanced courses. mathematics lessons. During my first years of high school, I was part of a school team participating in “The da Vince Decathlon” competition ranked 2nd nationally. I was accelerated a second time in college. As science itself split into different streams, I found myself increasingly drawn to physics. I challenged myself to take advanced mathematics and physics as well as a university level engineering mathematics subject in 11th grade itself. By studying the applications of mathematics and science, my passion for physics and mathematics slowly evolved into engineering. My interest in computer science grew out of the basic level courses I took in elementary school. Scratch gave me my first experience with programming. Later, in high school, I took additional courses on 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 objective was to understand the basics of deterministic and stochastic modeling in relation to Ebola disease. I had to use my programming and math skills to interpret the dynamics of Ebola's demographic spread and how both types of models can unveil the mechanisms in detail. At the heart of this internship was exposure to applied aspects of mathematics and computer science. I learned the toolbox of applied mathematical techniques needed to solve various problems encountered in real-world modeling and reduce real-world problems into mathematical solutions. This internship helped me understand that such real-world problems can be mapped by mathematical models and modeled accordingly. Likewise, chaos can be interpreted in the same way. To solve such problems, apart from mathematical knowledge, massive and efficient computer skills are required. Scientists and engineers are relying more than ever on this process to guide their experimental work. Mathematical modeling also introduced me to deep machine learning, AI, and data science. My strengths in problem solving, logical analysis.