What is is the World's First Verified Data Scientist Platform that drives Networking, Innovation and Collaboration in the field of Machine Learning and A.I. by leveraging Domain Knowledge, Technology and Applied Mathematics  

The Ecosystem

Verified Data Scientists Data Science Enthusiasts Corporates  Startups Educational Institutions Investors Thought Leaders

 Data Scientist profiles are verified through a standard background check process. Only the verified members have access to the all the features of the platform, which ensures quality of interactions and effective knowledge sharing ! 

Word's First  

Verified Data Scientist


Blue Blood Members are the verified Data Scientists with exclusive access to core features on the platform. Check the Blue Blood Qualification Criterion and Apply during Signup !
Minimum 3 Years of Data Science Work Experience
Studied Data Science at a Premier Institute like ISB, IIM etc

 Relevant Data Science
Work Experience
from a Top Institute 
 Not Required  A++ Institute view List
> 1 Year  A+ Institute view List
  > 2 Years  Any Certification 
  > 3 Years   Not Required 

Influencer on Data Science Knowledge Platforms
Researcher in the field of Data Science : PHD, RA etc 

Technologies of Focus 

Data Science Machine Learning Artificial Intelligence Statistical Modelling Big Data Visualizations/B.I. Cloud  
          and More

Blue Blood Data Scientist Qualification Criterion

View Detailed Criterion


Domain Innovations 

 The Platform provides focused groups referred to as "Cluzters" for various Business Domains. Members can collaborate and network by participating in discussions, sharing code, articles, research papers, videos, events, Jobs etc. through them  

Business Domains of Focus

Banking and Financial Services  Insurance Healthcare Manufacturing and Logistics Retail Telecom Sports
and More

One Data Science Platform Providing Multiple Features

Know more about

Features on are inspired from prominent platforms as depicted below 

Focused Groups for Domain Verticals and Technology Horizontal

Competitions and Hackathons

Authoring Knowledge Articles

Building a Follower base

Sharing Data and Code

Create Vlogs through Video Channels

 Q&A Forum

Gamification and leader-boards  

Find Relevant Jobs/Opportunities

Professional  Networking

Sharing job and interview Experiences

 Creating course catalogs including micro courses

Conducting Ideathons for funding Startups

Publish Research Articles

Focused Group Chat rooms

Integrating Data Science and A.I. RSS feeds

Cluzters.Ai Ecosystem

Business Domains & Discussions

Banking and Financial Services

Discussion Topics: Credit Risk Modeling Customer Segmentation, Targeting, Up sell/Cross sell, Fraud Analytics, Anti Money Laundering, Interest Rate prediction etc.


Discussion Topics: Customer Segmentation, Price Optimization, Fraud Detection, Recommendation Engines, Claims Prediction etc.


Discussion Topics: Disease Modeling and Mapping, Medical Image Analysis,Virtual Assistant for Patients, Drug Research and Development etc.

Manufacturing and Logistics

Discussion Topics: Supply chain optimization, Expanding/Sourcing to new markets, Product Mix Modelling, Travelling Salesman Problem etc.


Discussion Topics: Sentiment Analysis, Market Basket Analysis, Image Recognition and Augmented Reality, Recommendation Engines, Detecting Fraud etc.


Discussion Topics: Customer service chatbots, speech and voice services for customers, Traffic classification, Network optimization and orchestration, Predictive network maintenance etc.


Data Science Content Curated


Videos Uploaded


Queries Solved


Codes,Data Sets and E-Books

Data Science Jobs

in Full Time Opportunities - 9 hours ago
GSK is one of the world’s foremost pharmaceutical and healthcare companies and we are proud to be...
in Full Time Opportunities - Tue at 11:30 AM
FiscalNote is a technology-powered global software data and media company that uses powerful mach...
in Full Time Opportunities - Mon at 1:26 PM
MSCI is a market leader in Global Indexes, Smart Beta, ESG and Risk Management, and is at the for...
in Full Time Opportunities - Mon at 10:56 AM
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every...
Neudesic is the trusted technology partner in business innovation, delivering impactful business ...
Fanatics is the global leader in licensed sports merchandise and changing the way fans purchase t...
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Data Science and A.I. Videos Curated

"We are at a critical point in the global response to COVID-19 – we need everyone to get involved in this massive effort to keep the world safe." - WHO Director-General Dr. Tedros Adhanom Ghebreyes...
Learn about the IT cost savings driven by IBM Cloud Pak for Data. From data storage and movement reduction to analytics tool consolidation and infrastructure optimization with Red Hat OpenShift, yo...
Today we’re joined by Hima Lakkaraju, an Assistant Professor at Harvard University with appointments in both the Business School and Department of Computer Science. At CVPR, Hima was a keynote...
As part of this session, I will be giving an introduction to Data Engineering and Big Data. It covers up to date trends. * Introduction to Data Engineering * Role of Big Data in Data Engineering *...
One of the most basic concepts in statistics is hypothesis testing and something called The Null Hypothesis. This video breaks these concepts down into easy to understand pieces so that you can und...
Torchvision is a domain library for PyTorch consisting of popular datasets, model architectures, and common image transformations for computer vision. Francisco Massa, a PyTorch Research Engineer...

Latest A.I. Trends around the World

As one of the most lucrative jobs in the tech field, data scientists don't have much room for error. Here are the biggest mistakes they can make.
With the growth of data, tools and techniques to do predictive modelling as well as the evaluation methods used to assess the performance of a model have evolved.
Data science, led by Africa-based scientists, could play a key role in addressing issues like improving access and equity in health care, improving road safety and bolstering food security
While it is definitely easy for bigger names to attract talent, both startups and big companies have their own advantages and disadvantages.
While it is definitely easy for bigger names to attract talent, both startups and big companies have their own advantages and disadvantages.
Data science, led by Africa-based scientists, could play a key role in addressing issues like improving access and equity in health care, improving road safety and bolstering food security

Become a True Blue-Blood Data Science Professional !