Some of the key challenges for retail firms are – improving customer conversion rates, personalizing marketing campaigns to increase revenue, predicting and avoiding customer churn, and lowering customer acquisition costs. These can be tackled with deeper, data-driven insights on the customer.
Articles Published by Ajit Singh
The job of the data scientist and the ethical challenges they face
In data analysis, we make use of a lot of theory, whether we like to admit it or not. In a traditional statistical training, things like the central limit theorem and the law of large numbers (and their many variations) are deeply baked into our heads. I probably use the central limit theorem everyday in my work, sometimes for the better, and sometimes for the worse. Even if I’m not directly applying a Normal approximation, knowledge of the central limit theorem will often guide my thinking and help me to decide what to do in a given data analytic situation.
Introducing GKS over here to bring the attention of data scientist to consider the GKS while visualizing the data. Consideration of the GKS in Data Visualization.
Application of Data Science and Data Analytics for Insurance Industry