I have done my Bachelors in Power Plant Engineering, after which I worked for Emerson Electric for 2 years as an Engineer. Post this; I did my master’s in Economics. After my masters, I worked as a Data Scientist in a health tech Startup. I had an offer in hand, but that company had some hard times and revoked all existing offers. After that, I got an opportunity to work with Fractal Analytics, with whom I’ve been working for the past 3 years.
I come from a Non-tech background, therefore, my coding skills were not up to the mark, but statistical knowledge was pretty decent since I was trained in economics. I felt there were gaps in my knowledge, especially in terms of tying down my stats skills with code.
I went over a lot of online courses and did a few small courses online. Overall the course curriculum and teacher profiles at Great Learning impressed me a lot, so I decided to go ahead with it, and now that I have finished my program, I can say I made the right choice.
I did not have many apprehensions about an online program. I had done a few small courses, as I mentioned, and I was pleased with the delivery. I knew great learning would do an even better job.
Mentoring sessions are really important. You would have questions during the weekly video lessons, and you would need knowledgeable faculty. Great learning provided me with a great mentor. Most of my doubts were code-related rather than Stats or Math, and my mentor cleared all of them.
The mentoring sessions were really good. I also became a mentor at Great Learning, but unfortunately, I couldn’t continue with it as I had just switched to Fractal. So, I know what goes on behind selecting a mentor for the program, and the quality of the mentor I got was outstanding. My mentor helped me in dealing with the Code – related queries, and it helped me in my professional life.
As an accomplishment, I have managed to publish a paper in an American Journal in Deep Learning. Also, the education I received from GL helped me to crack various interviews, including the one at Fractal Analytics.
One advice I would have for new learners is to know your basics well and understand the data in and out; if you see a value know how it is generated and how that data recording or generation process varies between data sources. Also, learn SQL along with your normal AIML course.
