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Archisman Majumdar
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  • India
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Archisman Majumdar liked William Vorhies's blog post Want to Win at Kaggle? Pay Attention to Your Ensembles.
May 31, 2016
Archisman Majumdar liked William Vorhies's blog post Automated Predictive Analytics – What Could Possibly Go Wrong?
Apr 25, 2016
Archisman Majumdar liked Andy Cotgreave's blog post Why I Ditched My Fitbit and What This Means for Analytics
Apr 4, 2016
Koray Kaplan liked Archisman Majumdar's blog post Implementing data science projects – the five essential skill sets
Mar 28, 2016
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Mar 26, 2016
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Mar 25, 2016
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Mar 24, 2016
Dr. Jai Ganesh liked Archisman Majumdar's blog post Implementing data science projects – the five essential skill sets
Mar 24, 2016
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Mar 23, 2016
Archisman Majumdar's blog post was featured

Implementing data science projects – the five essential skill sets

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 sets…See More
Mar 23, 2016
D GALLEGO LOBATO liked Archisman Majumdar's blog post Implementing data science projects – the five essential skill sets
Mar 22, 2016
Archisman Majumdar shared their blog post on Google +1
Mar 20, 2016
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Mar 20, 2016
John Sobiranski liked Archisman Majumdar's blog post Implementing data science projects – the five essential skill sets
Mar 20, 2016
Dan K. Hansen liked Archisman Majumdar's blog post Implementing data science projects – the five essential skill sets
Mar 19, 2016
Archisman Majumdar posted a blog post

Implementing data science projects – the five essential skill sets

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 sets…See More
Mar 18, 2016

Profile Information

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.
My Web Site Or LinkedIn Profile
http://https://in.linkedin.com/in/archismanmajumdar
Field of Expertise
Analytics, Other, Big Data, Data Science
Professional Status
Manager
Years of Experience:
6
Your Company:
Mphasis
Industry:
IT
Your Job Title:
Senior Manager
Interests:
Finding a new position, Networking, Recruiting

Archisman Majumdar's Blog

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.…

Continue

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…

Continue

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