At Accredian, we create accomplished and empowered Data Leaders. We groom our students to dominate the world of Data Science and AI and reshape their future. We value what our students bring to the table. We share their vision and support them during their journey and ensure that they carve a niche for themselves.
We’re proud to have tutored exceptional students all across India. Today, one such exceptional student, Sivakumar Subramani stands in the spotlight.
Student Name: Sivakumar Subramani
Current Organization: Tata Consultancy Services
Batch: CDF – July 2019
Total years of experience: 9 years
Malvika: Hi Sivakumar, before we begin, could you tell us more about your current work profile?
Sivakumar: I am currently a Senior Mainframe Developer in the insurance domain in Tata Consultancy Services (TCS).
I have also worked as a Subject Matter Expert for various in-house multiple systems/applications and led a team of over 20 members across different geographies. I have 2 years of experience handling an international assignment in Scotland, UK for LBG.
Malvika: What got you interested in Data Science & Machine Learning?
Sivakumar: I have been working in a domain where I come across a lot of things we can automate, and we can predict.
So that’s where I think that we can implement our Data Science and Machine Learning algorithms.
Malvika: What all tools and packages in Data Science & Machine Learning have you mastered in your Data Science & AI program at Accredian so far?
Sivakumar: I’ve currently progressed a lot on Python and subsequently NumPy and Pandas.
Malvika: What is the goal of Data Science? In your view, how has Data Science evolved in the last few years?
Sivakumar: Data Science and even Artificial Intelligence and nowadays, are using/ innovating with products such as Amazon’s Alexa.
The products coming out of Artificial Intelligence applications are terrific! I believe that, especially when a lot of other companies are using your data as well, they’re trying to
predict the future and try to help the customer, is the goal of Data Science.
Malvika: Crafting a great Data Science resume is a critical part of getting shortlisted for Data Science roles. Tell us some ways in which you have improved your resume as part of Data Science Career Launchpad.
Sivakumar: The LinkedIn session was very helpful. I learned how I can transition from mainstream technology to Data Science jobs.
Resume sessions were very useful too. They were crafted for both professionals at entry-level to experienced ones.
Malvika: What is your advice to anyone wanting to start a career in Data Science?
Sivakumar: I would suggest them to break Data Science into different perspectives/aspects.
From a coding perspective, first focus on learning Python and then graduate to the math and statistics and so on. Learning algorithms directly is a waste of time if your basics are unclear.
Malvika: Thank you for your time, Sivakumar. All the best for your future!
