Saurabh has made a successful transition to data science, where he is utilizing the data he earlier only managed, to gain insights

 

Saurabh Singh is an engineer by qualification and now a data geek. He began his career as an Implementation Specialist at eClinicalWorks and made the climb to being a Data Scientist at the same company.
He spent over a year gaining the right knowledge and honing his skills. He believes the potential for growth as a data scientist is huge and is now looking to take on the data world.

 


What has been your first brush with data and analytics?
My work involved accessing and maintaining databases for the company. While I was using my technical skill set, I felt I was making no specific use of the data that I managed. The thought of taking up a career in analytics lingered in my head for about two years but I hadn’t taken any concrete steps towards achieving that. After some advice from a family friend and doing some research on my own part, I had decided it’s time for me to take the next step and start learning about analytics and data science.

Why did you choose to learn with Jigsaw Academy’s data science courses?
My time was crucial to me and I needed courses which catered to my specific needs. After some extensive research and feedback, I decided Jigsaw was the place for me to take my first step. I needed a step by step approach to my learning, starting from the basic statistics and heading on to the more complex data science concepts.
I liked the frame and structure of the course which dealt with both technical and business angles of data. I felt this would be the perfect footing for me to begin my journey into data science. If I had to invest in something, I wanted to invest in the best.

I needed a step by step approach to my learning, starting from the basic statistics and heading on to the more complex data science concepts.

How did you manage the transition into data science?
I finished the first few classes in a month and a half but then had to take a gap due to work and other reasons. What helped me were the self-paced videos as I could learn at a time convenient for me. I got back to them and started brushing up on what I had learnt. I took a lot of time to finish the first course, Data Science with SAS, but by the time I did finish it, I had gained considerable skill and knowledge in the application of data science theories. I followed this up with Data Science with R and was able to finish it rather quickly as I was already in the rigor of things. It was quite a task managing my job and the course work but this helped me make it as a data scientist today.

Now that you are a Data Scientist, how has the experience been for you?
I’m well equipped to deal with both the technical and business end of data and I don’t have to depend on another person for that. I have become self-sufficient when it comes to data and I believe this has been a great career move for me, in terms of both remuneration and growth. I’m definitely a step ahead of the competition and the combination of technical and analytical skills has put me at the cream of the crop.
The course and course material, along with the determination and hard work I put in has gotten me the platform where I can showcase my skills. Yes, getting here is a tough grind, but the results are absolutely worth the effort.

I’m definitely a step ahead of the competition and the combination of technical and analytical skills has put me at the cream of the crop.

share

Are you ready to take on Analytics?

Let’s get you started with one of the learning paths.