1. Tell us a little bit what you do at Integrify?

At Integrify, my responsibility is to teach students the subjects related to data science and machine learning.

2. How did you get interested in machine learning?

Nowadays data exists everywhere and is produced anytime, and thus we - as data professionals - need to process them to extract valuable information. The traditional methods cannot solve all the problems. Therefore, we need a new approach where a machine can learn without being programmed to perform specific tasks. The practical application of machine learning is now visible in every sector. What we can achieve with very minimal human intervention was simply fascinating, and hence it motivated me to pursue the field of data science.

3. What is your approach to teaching?

I would say it's an adaptive teaching approach where it depends upon the needs of the student . Some topics need more practical examples and hands-on coding, whereas some others require more theoretical knowledge. As a result, I always try to complement a topic with relevant practice exercises.

4. What book are you reading now? What is it about?

Mostly I love to go through the Medium articles which are short and helpful . Recently I have been going through the Deep Learning Book by Andrew W. Trask and Sapiens: A Brief History of HumanKind by Yuval Noah Harari.

5. Do you have any side projects?

Mostly I am learning and experimenting various deep learning methods.

6. What do you enjoy most about working at Integrify?

At Integrify, we value the dedication and productivity of our colleagues . The work environment is collaborative , flexible, and trustworthy. What intrigues me the most is that I have a great degree of control over and freedom within my job. The best part of working at Integrify is that while the company is always evolving, we can still solidly ensure a positive organizational culture.

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