It is not easy to play with data, but if you have a vision, you can. As a beginner, I enjoy analyzing data to come up with actionable insights. To make actionable insights, I collect the right data, clean and validate it, devise and apply models and algorithms, analyze it, and interpret it for a better understanding. Therefore, I am seeking a position as a data scientist in order to expand my knowledge.
My first step was to start working on it, which involved learning basic Python and its libraries, including Pandas and NumPy, as well as working with a variety of databases, including SQL and Oracle. As a result, I completed an internship in Data Analytics at Amazon Foundations, where I learned about data analysis, data visualization, and regulated services like storage, computation, security, etc. using Amazon Sagemaker for ten weeks. Additionally, I have knowledge of Database Management Systems, Data Structures, and Algorithms, as well as Software Project Management. I have also been trained in C++, HTML, CSS, Salesforce Developer Catalyst Plus, Keras, Scikit-Learn, and Matplotlib.
I'm a member of the Entrepreneurship Cell at my University where I helped in the efficient conduct of various events that encouraged 30+ Entrepreneurs to flourish their ideas into affluent startups and organized 40+ seminars, E-talks with mentors, Angel Investors, and Venture Capitalists to educate and aware youth about entrepreneurship. I'm also a member of the Library Advisory Committee, which works to enrich the library's collection and services to attract more visitors. When I was a Head Boy, I organized hundreds of events and instilled discipline into students, resulting in a more disciplined environment. Additionally, I have led teams of up to 10 members, who communicated effectively and completed the task on time, thereby improving their problem-solving abilities. In addition to my achievement in the district-level sports Olympiad, I also received the runner-up prize in the district-level National Children's Science Congress.