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Adarsh Shukla

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Adarsh Shukla is a dedicated Data Scientist with a philosophy of "Learning over knowing". His career has been focused on data science, where he has led and collaborated with talented individuals while actively coding.

Adarsh pursued his Bachelor of Technology in Civil Engineering from the National Institute of Technology Calicut and completed his schooling at Delhi Public School in Bhilai.

He has held various roles in organizations, including Principal Data Scientist, Senior Data Scientist, Lead Data Scientist, and Data Scientist at Course5i. Previously, he also worked as a Data Miner at Liberty Data Analytics within Liberty Mutual Insurance and as a Trainee Decision Scientist at Mu Sigma Inc.

Highlights

Apr 3 · linkedin

Lets understand a small subtlety in model implemention. Knowing the little things in implementation make you a better problem solver.

If all modelers are data points and one has been tasked to classify them into problem solvers(1) and others (0). Variables with high important could be their response to questions like-

In the finally implemented model, should i leave validation data?

(If u dont know the difference between test and validation data, link in this post could be helpful)

If you are one of those who have ever been pushed to make the wrong choice, it is undoubtebly important to understand needs of user for solution design. But let your ethics have upper hand in all stages of analysis especially implementation.

A responsible modeler knows when (and not just why) s/he is required. We are expected to take the correct stand supported by our analysis. And rightly so! Let us take steps to build trust for ourselves.

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Location

Bengaluru, Karnataka, India