RSS Featured Blog Posts
  • The Halley’s comet Data Scientist
    Image source: Wikipedia Introduction This post is about how not to be the Halley’s comet Data Scientist i.e. to keep yourselves motivated in your Data Science journey The views expressed here are my own Many professionals want to transition their career to AI. But most will not Often, we see a…
    ajit jaokar
  • Intro to Data Science for Managers [Mindmap]
    Data science has become an integral part of many modern projects and businesses, with an increasing number of decisions now based on data analysis. The data science industry is experiencing an acute …
    Igor Bobriakov
  • Learning Mathematics for Data Science
    I am halfway through my journey of being enough Mathematically literate to understand and work comfortably with Data Science books, posts, articles and journals. I wrote about my learning sabbatical earlier here.  Before I go on I want to reiterate few things which have established my way of learning and working.  Whenever I want to […]
    Arnuld
  • 29 Statistical Concepts Explained in Simple English - Part 3
    This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…
    Vincent Granville
  • The Key to Unlock Digital Transformation
    Digital Transformation is exploiting digital technologies and data to enhance the firm’s business model. Unfortunately, a Forbes study says that 84% of the Digital Transformation initiatives fail. There are many reasons for this and one important reason is tied to the way businesses inherently operate. Basically, businesses exist to earn profits and driving profits or […]
    Prashanth Southekal, PhD

Data Scientist Interviews

What data scientist’s do all day at work

Ram Narasimhan of GE talks about the importance of curiosity and what makes his day

“What I do as a Data Scientist” Dan Mallinger

Excerpt from Data Scientist Interviews “I’m a data scientist with degrees in mathematical sciences and organizational psychology; I also have significant academic training in computer science and sociology. I’ve spent my career in statistics, analytics, and technology roles but almost entirely under business groups, which has framed much of my professional outlook. Today, I am the Director of Data Science for Think Big and have been with the company for four years.”

Interview: Michael Brodie – We Can’t Rely on Machines

Excerpt from Data Scientist Interviews “So yes, there is a lot of hype?But I actually think it is far more profound and powerful than most people are conceiving it at the moment. It has already changed a very large number of operating processes in health care, manufacturing, marketing and stock markets. How-ever, it is not as widely used as one might think. Big Data and Big Data Analytics are in their infancy with respect to operational deployment and our understanding of it.”

Crushed it! Landing a data science job by Erin Shellman

“Data science interviews are the worst because data science is interdisciplinary: code for “you have to know everything about all the disciplines.”  Depending on the company and the team, your interview might look like a software developer’s interview, or it might look a like a statistician’s interview, and the bad news is that virtually none of the material overlaps.  I recently spent a ton of time studying for interviews and I’ve got some hot tips to pass along if you’re thinking about a move soon.”

 

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