I am working as an associate director of Technology in Gramener. We build custom Data & AI solutions that help the Art of Storytelling with Data. I am responsible for creating the Engineering & AI stack and tooling system to generate better Analytics for better consumption by the end users and other stakeholders.
I was working as a research assistant at the Tata Institute of Fundamental Research (TIFR, Mumbai) in the domain of experimental Physics and had a deep interest in the Analysis of the Data Results we got. Thus, I understood and explored the importance of quantitative aspects of experimental Physics. I further learnt that the more analysis we can perform, the more fruitful our data will be. So, this field is a journey, I am still paving my way into it as most of us in the industry are. We need to understand the importance of Statistics and Mathematics because that creates a strong foundation underlying our solution with every data set.
If we take 5 working days typically on a problem, 60% of the time is meticulously spent on efficient ML programming, paying attention to factors like accuracy, efficiency, reusability, and scalability. We make sure that the solution is in a deployable state. Rest 40% of the bandwidth I dedicate to the data part so that we are in direct touch with the real numbers associated with the problem, and we are close to the end user’s connection with the solution. So, to quote it nicely I will say there is Technology and there are Maths, we juggle and churn both.
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