My name is Praagya Vardhan Rathore, and I am a graduate of Mechanical Engineering working as an Assistant Manager at Atom Motors. Read further to learn about my journey with Great Learning’s Artificial Intelligence and Machine Learning Program.
While in graduation, I have worked on various vehicle segments, mainly Electric vehicles, Autonomous vehicles, and Solar vehicles.
Post completion of my graduation, I have worked with Atom motors, where I have worked on many aspects, including managing costs, schedule, and performance. I successfully mentored more than 2000 individuals and organized more than 20 vehicle design and development workshops in pan India, and also identified plans and resources required to meet organizational goals by setting realistic timelines and checkpoints.
Now having around 3 years work experience in this field, I was more interested in how autonomous vehicles function. This drove my interest in AI and Machine Learning. So, considering that, I was looking to upgrade my skill set along with the role.
Data science had always been a field I was involved in, so before registering for this Master’s Program, I started learning AIML through numerous online courses accessible on the online platforms. When I started the online courses, I grasped that I was getting side-tracked easily and was incapable of keeping my learning on track – something was missing.
I wanted a career transition. Hence I decided to invest in upskilling to further my career growth. I wanted to explore and move towards more cutting-edge technologies and applications. PGP-AIML at the time seemed the best fit for me, considering that I am tremendously keen and passionate about this subject.
The instructors and lecturers were very well-informed and reserved us involved. It was kind of an environment that kept me on my toes. I was able to relate with people who, like me, sought to accomplish something and were genuinely interested in studying. The team kept their eyes on our performance and submissions, which helped us stay on track. The hackathon was one of my favorite experiences with great learning.
The faculty was certainly good in terms of their knowledge and experience. The way they conveyed the training was really good. Though, it was an online-based program where I could ask queries effortlessly by raising a support ticket or linking with mentors at any point in time. The projects were extremely helpful and effortlessly completed after lectures.
With these new skill sets such as EDA, Data Wrangling, ML, AI, I managed to get an offer letter from Deloitte India (Offices of the US) as a consultant.
The analytics field is enormous and is budding at a very high pace. It is good to develop an area of expertise, but one must not be restricting themselves; instead, work on their own to learn the latest tools and technologies in analytics. What I consider analytics, it is comprised of 20% coding, 50% mathematics, and 30% domain knowledge.
One of the utmost important skills to efficiently work in an analytical role is the skill to read, write, and analyze data and code. Today’s most in-demand analytical tools comprise SQL, R, and Python. Though these may alter every few years, the fundamentals behind them remain typically the same.
