Data Science Manager at OYO (Data Scientist)
Applied Statistics & Informatics (IIT Bombay)
Mumbai, Maharashtra, India
Q1. Please share your educational and professional journey?
Currently, I am working at OYO as a Revenue Manager and handle the data science part behind the revenue and pricing. Prior to it, I was working with Fractal Analytics where I started my data science journey. Prior to it, I was working with Cogitaas. Most of the times I worked into FMCG domain. I have completed my masters in Applied Statistics from IIT Bombay and bachelors in Statistics from Banaras Hindu University.
Q2. What did attract you towards Data Science Domain?
I am very much attracted towards machines and technology. This curiousness leads me to understand the “behind the machines” part of it. During my internship, I did the sentiment analysis and there I got to know that the power of data science like what are the datasets, what are the algorithms, how to extract information from data, how to execute a data science project and so on. At that time, I felt that this field will boom in next few years.
Q3. How do you handle stress in this fast and competitive life?
I experienced that the stress mostly comes from a bad time management and unexpected things that come into path. I did some courses on time management where I learnt the urgent-important matrix. For unexpected thing, one thing I would say is the anticipation. I always think, if I am in such conditions, what could be the possible solutions and how to overcome it.
Q4. How do you motivate yourself at every morning?
I see every day new changes / updates are coming in the ML field. If I will not keep myself updated then soon there will be a day when someone will replace me and hence to update myself I always found mornings are the best time.
Q5. Which are the best tools for Data Mining and Machine learning?
Personally, I feel statistics is the best tool for data mining. When I started learning Machine learning, I found that few concepts are taken from the statistics. In terms of programming, I would say learn any programming language like R or python and try to get everything of it.
Q6. What do you do in your free time?
For me, most of my free time goes to my family. Sometimes, I go for a long bike ride.
Q7. What kind of problems have you faced in your Data Science Projects and how have you removed it?
The main problem of any data science project is to productionize it for the end user. Also, it is very important to understand who the end users are. To solve such issues first I keep myself in the place of end user and think in multiple ways that what could be the things which I am missing. Then create a list of those issues and talk to the real end users. After getting their feedback, I try to build the complete workflows which suffice all the requirement.
One thing which I want to tell every data scientists that learning the data science is one aspect and productionizing it is another. Try to learn the productionizing part of it also.
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