Rendell has a background in macroeconomic forecasting and data science and leads a data analytics startup called Lovely Data that aims to empower individuals to advance a data culture within their organization. Rendell holds an MSc in Development Economics from the University of Manchester and a postgraduate diploma in Economics from the University of Nottingham. He started his career as a Research Economist at the Centrale Bank van Aruba. During this time, he discovered R, was blown away by its power, and made it his preferred tool for working with data. This awakened an interest in data science and even lead to a paper on “Forecasting Tourism Demand through search queries and Machine Learning” published by the Bank for International Settlements.
In most organizations, R only enters through the back door when analysts download the free software and install it on their local workstations. Whether you are an analyst wanting to do more, a stakeholder wanting a competitive analytic platform, or an IT professional wanting to advance a data driven environment, you should open the front door, make R a legitimate part of your organization and get the resources needed to support it.