How a Mechanical Engineer can Build a Data Science Career


We’ve had a number of people from a mechanical engineering background reach out to us in the past, asking us how difficult it is to make the shift to analytics. While each student’s experience would be different, we can safely say that using engineering as a base, the opportunities in the world of data are endless.

When it comes to the mechanical side of things in particular, we spoke to one of our former students, Raghavendra S, who gave us his take on making this very move, and his journey in analytics so far.

“After finishing my degree in 2013, I started working at Larsen & Tuobro, in a machine maintenance role. There was hardly any computer use or data involved, just a few excel sheets that we kept a track of,” he told us.

“After a few years, I left to start my own business but when that didn’t quite pan out, I was faced with two options – either go back to machine maintenance, or jump into the world of analytics, and figure out how to build a career there. I’m very glad I took the second option.”

Despite not knowing how to code, Raghavendra took up the Full Stack Data Science course with us at Jigsaw and soon mastered the use of essential data science tools like R and Python.

“It was definitely a bit difficult initially but the faculty at Jigsaw were excellent,” he said. “They solved all the queries we had and guided us through the new topics very well. The videos were also very well made and explained the concepts in great detail.”

Raghavendra is now fully immersed in the analytics space and working as a Data Scientist at Sutherland Global Services. One thing he makes clear is the need for self-study by any aspiring data scientist.

“Along with Jigsaw’s extra curriculum, I found that there was a lot that I needed to learn myself, and on my own time,” he told us. “And that is something I would recommend to anyone looking to make a similar move. You never stop learning in analytics, so you need to keep working hard to absorb as much information as you can.

“It’s obviously hard work. For instance, I didn’t know how to code, but you need to do whatever it takes to become adept at the skill. And in the long run, that will only serve you well.”

We hope Raghavendra’s story serves as inspiration to other professionals looking to make a similar move. As cliche as it sounds, you can achieve anything you set your mind to, and all it takes is good old-fashioned hard work.