Spotlight Series: Exclusive Interview with Harsh Saurav!

Harsh Saurav

In this INSAID Spotlight interview, we feature –Harsh Saurav, an aspiring Data Scientist.

Question 1: Which program and batch are you part of at INSAID? Tell us more about your current work profile.

Harsh: I am a student of the April Batch of the Global Certificate in Data Science Program at INSAID. I am a recent graduate looking for work in the field of Data Science.

Question 2: Walk us through your career journey and what got you interested in Data Science and Machine Learning.

Harsh: I am from Bihar; as of now, I am staying in Delhi, and I have done my B.Tech from Techno India College in Mechanical Engineering. I am currently enrolled in an INSAID Data Science course and looking for new opportunities in data science. 

Apart from that, I am passionate about cricket and love to explore sports stuff. Data science and machine learning are problem-solving and exploration fields. I like the analytical research part that comes automatically with it.

Question 3: What Data Science and Machine Learning tools and packages have you mastered so far in your Data Science and AI program at INSAID?

Harsh: While working on Data Science and Machine Learning projects, I used tools like NumPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, and Jupiter Notebook. But I still need to start working on the AI program.

Question 4: What are some of the initial challenges you faced when you started your data science journey, and how did you overcome them?

Harsh: I come from a non-IT background. So coding was the main impediment in my transition or learning journey. But I learned from INSAID, read numerous blogs, and worked on it. And now I am comfortable, love coding, and am improving myself as a better data science expert.

Question 5: What is the goal of Data Science?

Harsh: Data science is a powerful method of transforming business data into valuable assets that can aid organizations in improving revenue, reducing costs, seizing business opportunities, enhancing customer experience, developing new products, and more.

Harsh: Data science and machine learning are both rapidly emerging fields that are currently experiencing a boom. These technologies have become increasingly attractive, with a growing interest in cloud-based solutions and the development of top-tier cloud-native teams. Additionally, there is a rising demand for services that provide augmented consumer interfaces.

Question 7: Which are some of the blogs that you follow?

Harsh: For the most part, I use Medium to learn from blogs and search for stock information. Through this platform, I have come across insightful articles such as “How to Learn Data Science as a Beginner“, which provided valuable guidance. Additionally, “10 News Websites for Your Data Analytics Journey” proved to be a hidden gem, offering an abundance of helpful resources. Finally, “Essential Math for Data Science” taught me critical mathematical concepts that are essential for understanding data trends.

We hope you enjoyed reading this interview. Check out the INSAID Spotlight for more interesting student stories like this.

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