Nishant Singh

Having considered myself an above-average or even a brilliant student when it comes to academics, I have yielded an overall CGPA of 9.2 on a scale of 10 in my high school (10th grade) examinations which is a start to my career. My desire to maintain the same progress throughout my career has taken a shape in my intermediate education where my interests were primarily concentrated on mathematics, physics, chemistry, and information practices. With my sincerity and unwavering discipline, I was able to earn an impressive 87.6% on my intermediate education and was among the top performers in our school. One of my greatest accomplishments during my time in school was helping my team secure first place at the inter-school computer science competition, which involved answering questions on developing computer applications and programming concepts. Later, I was accepted into the Mathematical Sciences program at the University of Delhi, a renowned institution in the nation known for its high academic standards.

With the theoretical knowledge I had learned in the classroom and the practical knowledge I had developed working on the two projects mentioned above and other minor projects, I was fortunate enough to be offered a Machine Learning and Data Analysis Intern role with Feynn Labs Services, which is the B2B unit of Feynn Labs, a Tech Startup/Business Prototyping company that provides AI integrated services to Businesses.

Along with possessing excellent academic credentials and a rewarding internship experience, I also take pleasure in pencil portraiture. I was a member of the Art and Craft Society at my college. As a part of the group, my team and I participated in art competitions at festivals held at different colleges, as well as hosted and visited a number of art fairs. In addition, I was a committed member of the SPIC MACAY Maharaja Agrasen College chapter. This non-profit youth group supports Indian classical dance, yoga, and other aspects of Indian culture. This movement has chapters in more than 300 locations throughout the world. I, together with the rest of my team, planned numerous occasions and programs that featured well-known musicians and artists. I operated the logistics section with the assistance of our team as the core member.

My Key skills in the field of data science include machine learning, data analysis, python programming, and statistical analysis.