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Presenting to you the INSAID Spotlight Budding Data Science Leader interview series. This is a series of interviews of budding data science leaders, enrolled with INSAID in different courses. These students coming from diverse backgrounds and even different fields, have rich experience in their own domains. They have interesting views to share with the world, their experience in the industry, what brought them to the field of data science and many other such interesting aspects. These interviews will enrich the readers about the insights, trends and many other related points.

In a recent conversation, we spoke to Satish Madrekar who is enrolled in the GCDAI program at INSAID.

Satish Madrekar

Current Organisation: MSC Software

Total Experience: 19 years

Batch: Global Certificate in Data Science and AI (GCDAI) January 2019

Goal: To merge my domain knowledge with the data science and work wonders for the industry

Satish Madrekar INSAID data science student

Ankita: If you could walk me through your career journey and the professional experience you have had so far.

Satish: I am a Mechanical Engineer and have around 19 years of experience in engineering design and simulation. I started my career with a picture tube company in the design, research and development activities. My profile there included predicting different kinds of tests. After this, I joined Whirlpool and worked there as a deputy manager, leading a team of 10 engineers who worked for the design and development activities of new products.  Post this, I joined a software development company, MSC Software. This is my current organization and I work here as a Project Manager (Product Management) working on data science and the automation part of it.

Ankita: Any tools and packages in data science and machine learning that you have mastered so far?

Satish: Python is one tool that I am quite familiar with as I have worked on it a lot.

Ankita: Which is your favorite machine learning algorithm and why?

Satish: Random Forest is my pick as I found it to be comprehensive.

Ankita: What is the goal of data science?

Satish: The goal of data science is to present solutions to the business problems and to work towards scaling the business to greater heights. This implies the right use of data to benefit the business in every possible way. 

Ankita: Given the vast range of experience you have had in the different types of industries, I don’t think there might have been any initial challenges when you entered this field. Were there any? If yes, then how could you overcome them.

Satish: There has been no challenges for me because the whole of my experience has been into design, research and analysis. With the kind of work I have done in the automation and smart technologies, the field of data science is more encouraging for me, rather than challenging. 

Ankita: Are there any current trends in data science that are of interest to you?

Satish: Due to a wave to automate almost everything, machine learning and AI have a great future. Autonomous vehicle is one trend that is of interest to me. With this, the problem of traffic jams and increased number of road accidents could be controlled. People will thus be safe. Machine learning and AI are going to be the most important trends in the future. So, I am also focusing on these two trends.

Ankita: At INSAID, students are encouraged to maintain high quality GitHub profiles. Have you also built a GitHub profile? How do you think this will help you?

Satish: Yes, I do have a GitHub profile and I am constantly improving it and building it. I have recently added two projects in it. These projects have all the details like objective, parameters etc. I am still developing my GitHub profile. This will actually help people to know about my work. 

Ankita: Because you are a highly experienced professional in the field, I am sure you must be having quite a great advice to share with the fresher. Could you please say something that will help and guide them? 

Satish: While hiring, we look for the programming skills in a candidate, apart from the domain knowledge; what kind of programming experience does the candidate have and what all things has he done etc. Together with this, we see if the candidate has had a working experience in Python. This becomes a crucial factor as this is the most preferred tool in the field today. So, yes, a fresher needs to have domain expertise, programming knowledge and experience in working with a tool. 

Ankita: This brings us to the end of the interview. Is there anything that you would like to share about your journey so far at INSAID? Any review, feedback or any other thing that you would like to share.

Satish: I liked the ML intermediate part a lot. This was because Parijat, the faculty, taught us in an interesting way, even the use cases were dealt with in an engaging manner. Classes and curriculum are engaging and interesting at INSAID. 

Ankita: Thanks a lot for those nice words. It was nice talking to you. Thank you!

Satish: Thank you!!

Author

Senior Content Writer @INSAID. Data Science and AI enthusiast who loves to read, write and converse.

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