Data scientists come in many shapes and sizes, and constitute a diverse lot of people. More importantly, they can perform diverse functions in organizations and still stand to qualify under the same criteria we use to define data scientists. In this cross-post from a Quora answer, I wish to elucidate on the different kinds of […]Read more "Different Kinds of Data Scientists"
This is a really interesting question for me, because I really enjoy discussing data science and data analysis. Some reasons I love data science: Discovering and uncovering patterns in the data through data visualization Finding and exploring unusual relationships between factors in a system using statistical measures Asking questions about systems in a data context […]Read more "Why Do I Love Data Science?"
I’m given to spurts of activity on Quora. Over the past year, I’ve had the opportunity to answer several questions there on the topics of data science, big data and data engineering. Some answers here are career-specific, while others are of a technical nature. Then there are interesting and nuanced questions that are always a […]Read more "Quora Data Science Answers Roundup"
One of the changes envisioned in the big data space is that there is the need to receive data that isn’t so much big in volume, as big in relevance. Perhaps this is a crucial distinction to make. Here, we examine business manifestations of relevant data, as opposed to just large volumes of data. What Managers Want From […]Read more "Big Data: Size and Velocity"
As a data science consultant that routinely deals with large companies and their data analysis, data science and machine learning challenges, I have come to understand one key element of the data scientist’s skill set that isn’t oft-discussed in data science circles online. In this post I hope to elucidate on the importance of domain […]Read more "Domain: The Missing Element in Data Science"
Data products are one inevitable result and culmination of the information age. With enough information to process, and with enough data to build massively validated mathematical models like never before, the natural urge is to take a shot at solving some of the world’s problems that depend on data. Data Product Maturity There are some […]Read more "Insights about Data Products"
Being data-driven in organizations is a bigger challenge than it is made out to be. For managers to suspend judgement and make decisions that are informed by facts and data is hard, even in this age of Big Data. I was spurred by a set of tweets I posted, to think through this subject. Decision […]Read more "“Small Data”and Being Data-Driven"