Alumni Spotlight: Career in Data Science

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Data Science Career

Today we have with us, one of our most sincere learners of data analytics and data science program, Mr. Subhajit. In this interview blog post, we will discuss how he started with the world of data, his experience in data science and analytics, and how Ivy Professional School has helped him throughout his data science career journey.

Subhajit’s Journey

In his tremendous ongoing career of 15 years, he was into banking and operations for 7-8 years. Then he joined Ivy’s Data Science and Analytics program after which he joined Accenture. Currently, he works at one of the world’s leading financial organizations. Data science and analytics were gaining popularity in India. However, Subhajit describes his experience to be more inclined to hardcore operations and sales. He was with HDFC Bank at the beginning where he looked after retail banking, operations, and sales. After that, he moved to M-Junction, where he was in the credit control and collections department.

Role of Ivy

Subhajit’s decision to join Ivy was a bit sceptical in the beginning because he found two, three types of students. Firstly, there were freshers who were just out of their bachelor’s or masters. Secondly, there were the ones with the jobs, who used to attend classes primarily on the weekends. Subhajit did not find himself to be fitting in either of the categories. Hence, being in the middle of nowhere, he felt as if a victim of downsizing. However, he loved the way he was personally counselled and guided. He understood that in this booming career field, it is a risk worth taking. Moreover, Subhajit already had a good background in statistics. He learned R, SAS, Python, and other data science-related subjects in Ivy Professional School.

Subhajit was one of those students who were enthusiastic about his studies, work to make a career in data science. He worked on every project that was told to. Not only he worked on the case study project, which was part of the course, but also, he went beyond and worked on a lot more projects. Subhajit is sincere and organized. Not only talented people but also, being sincere in organizing their journey of learning is particularly important.

Interview Experiences

“It is not necessary for a resume to only be of one page. I had to extend it to two pages, but then I made it very prospection. So, he put all the information, from his 7-8 years of experience, that is relevant to data science and analytics. He believed that those experiences that would be more beneficial. He created a LinkedIn profile which is almost a replica of his resume where he mentioned all his projects. After he, unfortunately, lost his job, he signed up for Ivy’s program and learned for about 6-8 months. Hence, there was a gap in his career. However, he took it very positively. Subhajit knew he had nothing to lose. He felt that since he had lost everything, he is still working. He believed in the risk that he took, hence it did not have much of an impact.

Subhajit creates his own profile when it comes to applying for jobs. He applied for a marketing analytics position in Accenture, and he was patient enough to wait for 8-9 months for the whole process to be executed. Most interviews want the candidate to talk about that one project that he/she is comfortable with. Subhajit did a project in Ivy where he talked about logistics regression as he feels it’s his area of strength. The questions follow from there. Questions like, the alternative steps, the following steps, the ordering steps, if the model is robust or not etc. Once you prove about a slightly difficult topic, it impresses the interviewer.

Interviews Then Vs Now

Things have changed a bit now. However, if there is a chance to apply that knowledge or not, is a different thing altogether. Python is the newest thing in this field. Artificial Intelligence and Machine Learning are now in the primary stage. Moreover, its applications are also limited to medium-sized companies or start-ups where they experiment with a lot of things. In big companies the application of these subjects is minimum, hence the learning is not of much exposure, however, the job security remains higher than as compared to medium-sized or start-ups.

Changes in Trends for Data Science/AI

There is a gradual change in the trend, and nothing is going obsolete. The introduction of a lot of frameworks is allowing the work to be more flexible. For instance, most people think SAS to have depleted its recognition. However, most leading companies, clients still choose SAS as one of the most efficient programs. In other sectors, there is a shift in the trend of data science. A lot of time is spent preparing the data. This is because data cleaning is of utmost importance as the data extracted is in a half-hazard manner. Youngsters need to understand that doing the cream part of the job, which essentially is about creating the project and putting it on LinkedIn is one thing. However, the hard part, which is about exploring the data is extremely crucial.

Favorite Interview Questions

Subhajit describes his tips for interviewing someone as he would look for someone who has business problem skills. Problem-solving skills are something that is important to know about. It is not necessary that the questions should be related to analytics, but it should be more towards the involvement of his daily activities. The idea here is to get into his mind and understand how he thinks, approaches, and operates. Apart from that, one can also ask business world analytics questions also.

Tips for New Data Science Aspirants

Honesty is the best policy. Subhajit asks the aspirants to be honest with the interviewers and themselves. It is important to know why one wants to get into this field. A solid industry experience helps to get talking points relevant to data science and then one can start talking about the projects as well. Communication is the key. English speaking skills should be better than average, and it would help in influencing the interviewers. Anybody can build a model; however, it is important to tell a story and sell it to the client. Being a storyteller about your passion, project, and life as a whole is as important as the usage of technical jargon.

Watch our expert on Data Science Opportunities in 2021 here.

Tips for Ivy Data Science Learners

Sincerity is the key. Focusing on the projects is especially important and should be taken seriously. Practising something that is going to be a different domain will take you through the most difficult questions of the interviewer. Now, Ivy is focusing more on projects. Ivy creates a lot of avenues where students can participate in hackathons, internship programs, module wise projects. A concept of research projects is gaining a lot of attention where the students involve themselves in finding the problem statement and solving it on their own. They also create a presentation and video of it as well. This gives them a lot of confidence and tremendous value to their profile to foray into a career in data science.

Ivy Professional School ranks among the top data science and analytics course institutes since 2008, has always been an organization that has focused on the betterment of its students. With the help of faculties who are industry experts having 10+ years of industry experience, it aims to provide specific learning experiences that all the large organizations are looking for in their prospective data science/analytics candidates. These instructors not only provide technical knowledge but also provide a great deal of understanding from their experience in various industries. Come shape your career in data science with Ivy Professional School.

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