To be a data scientist, to be a software engineer: Antrixsh Gupta, Danalitic.

“Along with their tech savvy and long-term vision, I see business processes as programming challenges,” says Antrixsh Gupta, CEO and Chief Data Scientist at Danalitic.

Analytics India Magazine sat down with Antrixsh to learn more about the research and data science industries in general. Antrixsh spoke about data science, its current state, and future predictions.

OBJECTIVE: What led you from a senior software engineer to a technical advisor, to a mentor, to a researcher to a CEO? Who or what encouraged you to pursue a career in data science?

Antrixsh Gupta: I have always been fascinated by science and technology. I have always been interested in how it works. My ultimate goal has always been to have my own business, develop new resources and make big profits. As I was fascinated by science and technology, I always wanted to work on new things and guide learners with optimism. I would also say that a few strokes of luck got me where I am today. I believe I have had the ability to approach business processes like programming tasks outside of their understanding of technology and their long-term vision. The variety of skills that I was able to acquire along the way was one of the main reasons that encouraged me to pursue my career in data science. I’ve always been interested in new market opportunities, and data science skills have helped me identify these patterns.

OBJECTIVE: A researcher turned CEO is an interesting metamorphosis. How did this transition go?

Antrixsh Gupta: I would say the transition was not child’s play. As I mentioned before, honestly my trip was paved with a few strokes of luck. Certain personal motivations made me move from the laboratory to the conference room. As a CEO you have to make a lot of decisions without enough information which can be difficult and here is the role of the experiences you have had over the past few years. I didn’t pay much attention to the money; instead, I focused on the developments in my business and the path I am currently traveling.

GOAL: Is there a specific incident in your data science journey that you proudly come back to?

Antrixsh Gupta: This has happened to me very often, as I myself am involved in training and counseling and many times when my students call me and say “Antrixsh, I interviewed your student”, and I am very proud as an interviewer and the interviewee are my students. And I have to say that where we are now, it just happened because of my students. Also, when my students call / text me to say we got the job of our dreams, it makes me very proud.

PURPOSE: It’s great that as a Machine Learning Facilitator you have organized hackathons. You would have solved and witnessed various key challenges in the industry. Could you please share any of these interesting challenges with us?

Antrixsh Gupta: As ML facilitators, we run over 50 hackathons, and our main motivation has been to run hackathons to help participants pursue their goals. There are so many resources online and can be overwhelming at times, so helping participants choose wisely helps them develop their learning journey individually, helping them using hands-on projects in healthcare, retail and the area of ​​supply chain. It also helps participants gain knowledge in the field by inviting industry experts.

AIM: In your opinion, what is the most demanding area of ​​research currently in the data science industry that requires special attention?

Antrixsh Gupta: The healthcare sector is one of the most important industries for the participation of data scientists. Not only is it estimated that 30% of the data stored globally comes from the medical field, but the opportunities for improvement made possible by this cache could save the industry up to $ 300 billion per year. Working in the healthcare industry as a data scientist means more than just improvements in efficiency, it can mean lives saved. For this reason, data scientists are flocking to this humanitarian industry.

AIM: What is your outlook on the growth of India’s data science industry? Could you share your thoughts with us?

Antrixsh Gupta: It’s definitely a growing industry. Hiring in this industry has increased by 45% and there will be more than 10 million job postings over the next five years. The impact of the data science sector is considerable and therefore a range of new roles and skills will be required. The industry is believed to be growing at a healthy pace. The industry is expected to grow sevenfold over the next seven years. Startups have also contributed significantly to overall production in India.

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OBJECTIVE: Is India’s data science industry losing its competitive advantage in terms of costs? With the increase in the cost of recruiting data scientists, will companies continue to outsource? What is your opinion?

Antrixsh Gupta: I wouldn’t say the industry is losing its competitive edge in the country. Instead, data science applications have amassed all industries and easily increased the demand for data scientists. But trends are changing these days. The demand is not the same as before. Even though there is a demand for data scientists, people either lack skills or experience. The transition to data science is a smart move because it allows for much higher comparative returns. For the majority of businesses, outsourcing will be the right option as it will offer a high degree of flexibility and scalability. It will also ease the burden of finding the right resources in a highly competitive industry.

OBJECTIVE: In industry, who are your role models?

Antrixsh Gupta: Andrew Ng and Yann LeCun are two personalities that I consider to be role models in this industry.

AIM: What are your favorite data science / AI books?

Antrixsh Gupta: These three count for my favorite:

  1. Competing in the Age of AI: Strategy and Leadership as Algorithms and Networks Run the World.
  2. Build analysis teams: exploit analysis and artificial intelligence for business improvement.
  3. The Data Detective: Ten Simple Rules for Making Sense of Statistics.

OBJECTIVE: As a data science researcher and practitioner, what advice would you give to aspirants interested in pursuing a career in data science?

Antrixsh Gupta: My main advice to aspirants would be to start with practical projects and then slowly work your way up with theory. Ask questions until you are satisfied with your knowledge and tools. One can also find and join online communities that can help them learn and grow. Read blogs regularly and listen to podcasts from industry experts. And for all fresh minds, I would like to make a suggestion: Before you become a data scientist, you must first be a good software engineer. Don’t think that you will be a master in a week or a month, but a consistent approach to learning new things on a daily basis will definitely help you achieve your goal.


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Dr Nivash Jeevanandam

Nivash holds a PhD in Information Technology and has been a University Research Associate and Development Engineer in the Computer Industry. He is passionate about data science and machine learning.

Sean N. Ayres