If you are a recent graduate or someone preparing for your first data scientist position, then here are some tips to help you ace your interview!…Continue
Added by Ann Rajaram on July 11, 2019 at 2:52pm — No Comments
As a senior datascience professional and analytics manager, I get countless requests for job search advice, resume feedback and heart-breaking stories from brilliant students who are unable to snag a job in this exciting field. There are tons of books on how to learn the skills to become a data scientist/ data analyst, but none to prepare folks for the frustrating job search.
I've repeated this advice to dozens of people, most of whom found their dream datascience job with…Continue
Added by Ann Rajaram on May 25, 2019 at 12:00pm — No Comments
This is an analysis of the Kaggle 2018 survey dataset. In my analysis I am trying to understand the similarities and differences between men and women users from US and India, since these are the two biggest segments of the respondent population. The number of respondents who chose something other than Male/Female is quite low, so I excluded that subset as well.
The complete code is available as a …Continue
In this script, we will explore the open roles at Google, and try to see what common attributes Google is looking for, in future employees.
This dataset contains text information about job location, title, department, minimum and preferred qualifications and the responsibilities of the position. Using this dataset we will try to answer the following questions:
This is a tutorial to show how to implement dashboards in R, using the new "flexdashboard" library package.
this new library leverages these libraries and allows us to create some stunning dashboards, using interactive graphs and text. What I loved the most, was the “storyboard” feature that allows me to present content in Tableau-style frames. Please note that for this you need to create RMarkdown (.Rmd) files and insert the code using the…Continue
This post covers the following tasks using R programming:
In today's blogpost, we take a look at the crime statistics in Philadelphia, investigation from a "data scientist" perspective, so as to speak. This is my attempt at presenting crime in Philadelphia area from a data visualization perspective. Please feel free to add your thoughts and feedback in the comments section.