Highlights
Big Data and the internet of things have certainly revolutionized the way we conduct business. The multi-disciplinary domain of Data science combines computer science with statistics, probability, business models, and operations management skills. It will further provide an answer to the most complex business and technical questions. Undoubtedly, Data Science Engineering and Analytics is poised to be the next big thing in the future. So I believe that there is no time as the present to learn about it.
I have been fascinated by the upcoming technological field of AI, since the time I am working. I have developed a deep interest in the domain of probability and statistics. I did the introduction to Database and Data Structures in the cardiac program at MET. It helped me garner an in-depth understanding of the back-end processes that take place to process/store data. Whereas Engineering Mathematics gave shape to the concepts of Statistics, Combinatorics, and Probability.
In 2017 I had completed my bachelor's degree in electronics and communication. When I was in 2 year I attend the workshop of c and c++ . After attending the workshop I find my interest in programming. So I started to learn the programming languages. My minor project is Smart street light which is based on embedding programming. It’s easy for me to do programming because I know the basic concept of c programming. In 4th year my project is Anti-theft vehicle detection where programming part is based on embedding. While doing programming of my projects On of my professor inspired and motivate me to move towards computer science and he suggest me to do cdac. After completing my Engineering I applied for Cadac certification where I gained proficiency in 11 programming module. Further sharping my skill with a mini project in Online hotel management. With various functionalities like payment interfaces, inventory management, job queuing etc. It was my project on a comprehensive concept on database and j2EE. It provided me with the necessary tools and framework that I would need to solve any future problem through software.
When I completed my cdac I got a job opportunity from Quosphere Infosolutions Pvt ltd as Business Intelligence Associate consultant. After joining I learned quite a lot regarding data analysis, requirements gathering, data visualization, Testing of data, Prediction, Bi tools like Power BI, Qliksense, Qlikview. Right now I am working on a project whose environment is Qliksense where I am doing end to end process.
Besides, I have been extremely fortunate to gain valuable experience in the domain of analytics. However, I feel that continuous learning is the key to life. I still believe that I have a lot to learn in this vast domain of big data & data science. So, a formal Masters degree in Data Science Engineering will be the stepping-stone towards realizing my dreams. So through pursuing MS in Data Science would come forth with a lot of rewarding opportunities especially when the career goals and industry-specific implementations are concerned. As every sector requires data visualization to draw actionable insights and increase existing revenues, Data. For me, however, a Master’s Degree in Data Science would help me realize the short-term goal of proper resource utilization pertaining to a specific industry. The long-term goal of working alongside a company of repute is also possible to achieve if I can fulfil the responsibilities and rigours of this international Data Science curriculum. With an emphasis on experiential learning, an innovative and research-based curriculum. And core subjects like Predictive Analytics, Decision Support, and Business Intelligence and Data-driven decision-making, an MS in Data Science Engineering will provide me with the necessary edge to lead in this knowledge-based industry. I believe that my educational background has instilled in me the qualities required to meet the rigour of this demanding course, and subsequently, the profession. I have basic knowledge about Data Science, unique but relevant work experience, along with a desire to learn, a penchant for teamwork and leadership, and a zest for challenges.
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