Archisman Majumdar
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  • Bangalore
  • India
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Short Bio:
Archisman Majumdar is senior manager at Mphasis Next Labs. At Mphasis, he conceptualizes, develops, and leads multiple products in the analytics R&D space. He is responsible for the research, innovation, and go to market for the products and solutions. Prior to Mphasis he has worked in Cognizant, Infosys, Siemens, and Wipro at various project management, research, and engineering roles.
Archisman completed his PhD from the Indian Institute of Management Bangalore (IIMB) in the Quantitative Methods and Information Systems area. He has published papers in various international conferences and was a visiting researcher at the IT University of Copenhagen during his PhD. His areas of expertise are in business analytics, social media, product management, and information systems research.
He lives in Bangalore with his wife and enjoys playing soccer and reading books.
Job Title:
Senior Manager
LinkedIn Profile:
Finding a new position, Networking, Recruiting

Archisman Majumdar's Blog

Domino habits for data science

Posted on September 19, 2017 at 10:30pm 0 Comments

Why do Navy seals make their own bed?

In a recent address to students Naval Adm. William H. McRaven, ninth commander of U.S. Special Operations Command mentioned the importance of making your own bed. The news can be read here and here 



The data science ecosystem: R vs Python vs Substitutes

Posted on November 9, 2016 at 1:30am 0 Comments

The data science ecosystem: R vs Python vs Substitutes


In this post, I show a network analysis of the R and Python ecosystems in terms of their competitors.   The objective of the post is to -

  1. Identify the key tools/languages being commonly searched in the data science area related to R/Python
  2. Identify the sets of associated tools

To identify the typical substitutes/ competitors of a tool, I use the Google search autofill recommendations.…


Implementing data science projects – the five essential skill sets

Posted on March 17, 2016 at 11:30pm 0 Comments

The future of business, it is argued, is digital. At the core of this digital transformation is the ability to harness data in enabling better business decisions. Typically, organizations have teams of experts who work on existing data sets to apply diverse analytic tools and techniques to make sense of the data. The more statistically advanced among these teams work on typical ‘data science’ problems. Data science problems are where you need to apply sophisticated algorithms on large data…


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