Success Story: Switching from Data Engineer to Data Scientist
I believe anyone with patience, passion and guidance can learn Data Science.– Kranthi Bandi
Education: M. Tech Mobile and Satellite Communications
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Profile: Data Engineer
Domain: Enterprise Software
Experience: 3 years
My journey into Data Science
Why Data Science?
Being a Data Engineer, I always felt like I belonged to the field of Data. I could see how the tech was moving. All the businesses are becoming Data-oriented and automation is the need of the hour. Once Cloud Technology is stable, Artificial Intelligence is going to dominate the trend. During my Masters, I had Statistics as a subject and used it heavily in a project. My Masters’ thesis was with MATLAB, using concepts and fundamentals of Data Science.
So, I was sure of getting into Data Science.
While looking for a program, the only challenge was finding a class with a well-balanced curriculum. I tried understanding the curriculum of a lot of classes, some of them had a very high-level curriculum while others were not covering any relevant knowledge. Also, I did not want to go to any well-known classes because teachers aren’t able to give personalized attention.
Since this is a serious subject, the only way I could be sure about any course would be if a credible source vouched for it. A friend (an ex-student of Dimensionless) strongly recommended the Data Science course from Dimensionless. Their curriculum was balanced for anyone who wanted to start in Data Science. In fact, the first demo I attended was on Statistics. It is essential to start with Statistics and Mathematics to grasp Data Science fully.
If you see the progression, going from being a Data Engineer to being Data Scientist was an obvious step forward.
Experience with Dimensionless?
Good course structure and in-depth teaching were 2 key factors that impressed me at Dimensionless. Learning Data Science takes time and effort from both the teacher and the students. We got that at Dimensionless.
Also, people coming from a Data background are usually weak at programming. The teachers made it easy for us to understand and learn Python.
The teachers covered a lot of ground for all the subjects and they were always available for clearing our doubts. I was satisfied with the course structure and the teaching method.
Career Transition to Data Science
Luckily, in my previous company, they were building an AI team and testing various projects. At the end of the course, I got support from Dimensionless to prepare with Mock Interviews.
I applied to be a part of the AI Team at my company and got selected through a written test and interview. The exposure was immense. I got to work on multiple projects from scratch. We discussed Use Cases and projects in-depth, covering even the business aspects of it.
After that, I knew I could comfortably face any Data Science or AI interview.
There are many more like Kranthi who have switched to Data Science from different domains. Read their success stories here.
Furthermore, if you want to read more about data science, you can read our blogs here.