The demand for data science experts is increasing in every industry, not just in technology. Moreover, it is a high-paying job with a guaranteed placement even before graduation. Hence, the competition is also increasing, and with every passing year, the ease of getting into a top data analytics program keeps getting harder. So, start early with your application and make sure you put good time into drafting your perfect application essays.

Here is a sample personal statement of data science professional with two years of experience working in a big data consulting firm. This candidate was able to secure admission into top data science programs like Vanderbilt and CMU. He has graciously shared his successful essay so that prospective applicants can benefit from it.

Related Personal Statements

1) Sample Personal Statement Business Analytics
2) Sample Personal Statement in Advanced Analytics (admitted to NCSU)
3) Sample Personal Statement in Analytics (admitted to Georgia Tech)
4) Sample Personal Statement in Management and Analytics (admitted to LBS)

Sample Personal Statement for Big Data/Data Science/Data Analytics

I want to play a critical role as a big data architect who translates business problems into solvable analytics. In the short run, I want to work for a leading FMCG firm like Unilever, P&G, or Nestle and define procedures and models to determine what IT systems gather and remove information silos across different departments. In the long run, however, I want to extend my expertise in the public sector and advise corporates and governments alike across the globe to solve several social and business problems through big data.

My undergraduate has equipped me with extensive quantitative knowledge and technical experience around different themes in Computer Engineering. I’ve focused most of my studies on GUI in C++, apps and game development, and intensive numerical analysis. This was further honed when I joined Afiniti Experience Ltd as Software Engineer.

I have written scripts using MySQL and MSSQL to process large datasets and troubleshoot and configure the company’s operations. At Afiniti, I have developed a strong skillset in collecting, storing and managing big data. I plan to translate business problems into analytics-driven solutions, which I would embed into business operations. However, I must first curate my leadership skills and polish my skillset in designing computational pipelines for high-dimensional and large-scale complex data.

At Vanderbilt, I want to develop my theoretical basis of operations and decision technologies which ideally dovetails with my career interests of applying quantitative techniques in business operations. Beyond the classroom, I would greatly appreciate the opportunity to learn from and collaborate with Vanderbilt’s influential faculty. The Data Science Institute will allow me to learn data-driven research and train me as a future leader.

In particular, the techniques of Gautam Biswas on learner modeling and adaptivity are foundational for my current work. Moreover, Jeffrey D. Blume’s expertise in statistical inference and methodology for analyzing and interpreting receiver operating characteristic curves will equip me with tools through which I can excel in my future career.

My future aspirations require strong leadership qualities recognized in a data-driven world. For this purpose, I would greatly benefit from Data Science Institute’s capstone development and lead a project from scratch. This will mold my personality into a global leader’s persona.

Lastly, I will exploit the locational advantage of living at Vanderbilt and gain access to multiple fortune 500 companies where I can seek pro bono consulting opportunities and enhance my problem-solving acumen. I am also confident in acquiring the necessary communication skills to present solutions to Product Managers, Sales Associates, Engineers, and Marketing Teams.

To sum up, owing to my aspirations and professional expertise in big data synthesis, I am confident of using the vibrant opportunities at Vanderbilt’s master’s in data science and converting it into an ideal segue for my future career aspirations.