Why do data science and analytics projects fail? At what stage of the project life-cycle are they most vulnerable to failure? Like any living creature, the probability of analytics projects to fail is the highest either in their infancy or at the final stages of their life cycle. A successful analytics project, like a successful
Are you preparing for data science interviews? To help you in your preparation, in this article, I will discuss some of the worst mistakes candidates make in data science interviews. In the previous article, we discussed the structure of data science interviews along with sample questions and preparation strategy. Many times I have noticed that well-prepared
Are you preparing for a data science job interview? To help you, in this article I will explore some of the most common techniques used by data scientists to select their future colleagues. Additionally, I will also share many sample questions for data science job interviews and suggest a few strategies to prepare. Moreover, please post your
A couple of weeks ago I was at two different business schools as a guest speaker. Both ISB, Hyderabad, and MISB Bocconi have specialized programs in business analytics and data science for working professionals. I gave talks about ‘career in data science & industry’s expectations from data scientists’. I got the opportunity to speak to more
Over the years in my career in data science and predictive analytics, I have noticed some awful practices that young and sometimes seasoned analysts follow. These bad practices, I believe, throw careers of these data scientists on a collision course similar to the Titanic. I will present the six worst mistakes that I feel are at the
There is a lot of exuberance about data science as a career choice among young professionals. This exuberance (for once) is not at all irrational because the field has tons of potential. I have been asked on many occasions by professionals considering a career change to data science and young graduates trying to start their careers in
Killer Dashboards Some time ago I came across an Excel based dashboard with around 45 tabs, and every tab had around 10 charts/ graphs /tables. That is roughly 450 figures and tables. I could only sympathize with the end audience of that dashboard. Unfortunately, almost every organization is deluged with meaningless reports and dashboards of