How Mayur Made The Right Career Choice With Analytics

It’s become widely accepted that most people who move into the field of analytics will be from an engineering background. However, it’s still always great to hear the story of someone who’s identified the difference that move can make for their career and then do whatever it takes to make that move successfully.

One of our former students, Mayur Gade, is one such young professional. Despite a fairly varied background and slightly different paths along the way, he is now on the way to building a very rewarding analytics career.

“I completed my Mechanical Engineering and then worked for three years in the mechanical industry,” he told us. “After that, I did an MBA in operations and that was a bit of a change for me, given my background and work experience. But once I’d entered the MBA environment, I began to hear more about data science and that’s when I decided to make the shift into that, because I saw what opportunities it had to offer.”

After completing a combination of programs which included SAS, R and Text Mining at Jigsaw Academy, Mayur was able to get his first job in analytics and make the move into the industry. Beyond just the basics of the field however, he also noticed the buzz around how analytics was increasingly being used by business, which acted as a further catalyst for him to start equipping himself with the necessary skills.

“It was while doing my Six Sigma course that I began to get a lot more information about the business applications of analytics, which was something I was quite interested in anyway. Anything that translates well into the business context is good to know because you know it will be relevant for a long time,” he said.

On the subject of the course itself, Mayur was quite positive about the graded assignments in particular.

“Assignments really helped us get an idea of understanding the application of what we’d learnt, and get to really know what the client expects,” he told us. “It also helped me properly grasp the idea of how to implement statistical practices into business problems.”

He’s also very enthusiastic when talking about how his course experiences translate into actual work. “Predictive modelling is something that’s quite exciting to work on and it’s something that is beginning to get used a lot more in the industry as well. There are plenty of uses of stats at my workplace, to derive various types of insights. Having an understanding of how these things work is really beneficial, because I can apply a lot of what I know, and also keep learning as I go along.”

Mayur’s story should serve as inspiration for anyone who’s still on the fence about moving into analytics. Despite studying a varied range of things early on, he never lost sight of what opportunities were arising in the industry. By equipping himself with whatever he needed to fulfill those changing demands, he has been able to build a successful career, and we have no doubt that he will continue to scale greater heights.

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