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A study published by VentureBeat in 2019 was highly cited (link) by various articles, it talks about why more than 80% of data science projects never make it to production. Since then Machine learning operationalization is catching pace, we could refer to Oct 2020 report, where MLOps seems to be trending across all platforms. Various organizations are setting up their data science teams composition from a development to deployment perspective.

The below chart clearly describes various activities involved in the ML model deployment team. If you closely see, you will observe two important roles during machine learning model development, ML…


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Since the pandemic started in India in March 2020, we are all stuck at home with nowhere to go. Now it’s almost over a year, India is going through the second covid wave. We have adjusted ourselves to this new reality, work from home. I thought of accelerating my reading (or listening) habit during this time. After spending significant time reading hard copies of books, a couple of years back I shifted to Kindle to avoid overstuffing bookshelves. Now in this WFH phase, as I was doing various daily chore activities, I thought Amazon Audible could be a good addition…


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Let’s think, you have been given a data science problem in an unfamiliar domain, now you need to build a predictive model for a business problem in this domain. All the available enterprise domain data is ready for you to consume, not to mention that you can use data from external ecosystems as well. As a first step, you may want to use all available features and rely on data science techniques to tell you which features are useful and which are not. However, you may end up spending too much time in merging tables for creating those features (based…


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As we are witnessing expansion of corona-virus pandemic across the world, businesses are running in to chaos. We all are experiencing such scale pandemic first time in our life time, no business would have planned earlier to deal with this kind of crisis. Here in this article I will be providing my thoughts on areas, which are going to see wide scale Machine Learning adaptation post this crisis :

1. Healthcare digitization & technological advancement :

V Sharma

Lifelong learner. Love Maths, Data Science, Technology, Astrophysics, and Music. Opinions expressed are solely my own & don’t express the views of my employer.

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