Let Alexandria Payne and Caroline Hild of the ARCSys Statistical Team provide an insight into how market analytics and statistical interpretations are used to support or persuade. They will be taking news items and contributing an evidence-based perspective regarding the claim.
Today, we look at the importance of the consumer confidence index (CCI) and its effect on GDP.
About The Authors
Alexandria Payne
Alexandria oversees the design, development, and testing of analytic and predictive machine learning models. Prior to her work with ARCSys, Alexandria was the Data Analyst and Visualization Specialist for the Knowledge and Information Services division of the National Center for State Courts where she liaised with product and research teams in order to communicate judicial assessment through interactive and comparative data analysis. She has also served as Digital Services Manager for the City of Newport News, Virginia, where she oversaw technology implementation and systems management. Alexandria is ITIL v3 certified and holds a M.S. from the University of Tennessee, Knoxville, as well as an M.B.A. from the College of William & Mary.
Caroline Hild
Caroline is a member of the Statistical Analytics Department where she works on client portfolio analysis and predictive machine learning model development. Following her BSc in Economics and Business Finance, she recently obtained her MSc in Financial Markets and Investments from the SKEMA Business School in Raleigh, NC. Prior to her arrival at ARCSys, Caroline worked at Societe Generale as an Internal Auditor in France. She brings experience in audit, statistics, programming, economics, financial markets, and credit risk. Caroline has extensive international experience having lived in the United Kingdom, France, Poland, Switzerland, and the United States.
