Gauri is the Founder and Chief Data Scientist at Mercer Talent Enterprise, where she leads the analytics, research and development functions at Mercer Talent Enterprise. With an expertise in advanced statistical analysis, modeling and psychometrics, Gauri is responsible for the on-going development of our assessment and research solutions.
An Economics Graduate with an MBA and a PMP certification, Gauri has extensive experience applying complex statistical techniques to internal and external data sets. Gauri is qualified for occupational test use – both ability and personality from British Psychological Society and has successfully completed summer school for IRT, CAT and Machine Learning from The Psychometrics Centre, University of Cambridge.
Gauri previously worked at Audi Canada (Volkswagen Group) as a Data Analytics Manager. In this role, her responsibilities included management of all customer data (CRM, vehicle data, digital data) to inform digital transformation initiatives in Canada. Gauri managed a $5 mn+ budget to make strategic decisions to achieve Audi Canada’s digitalization vision. She also led the transition for Audi Canada to a Salesforce CRM solution as Pre-Sales Product Owner. This project required development of an AWS data lake as a single integrated data source from a complex web of data sources such as Audi America, Audi Canada, Audi AG as well as Auto Dealerships.
Gauri also worked at Aon Hewitt as an Operations Manager, where she was managing the team responsible for employee engagement projects for all European and the Middle Eastern clients. During her time with Aon, Gauri managed many high value projects, typically with a large degree of complexity and global scope. Her role required in-depth statistical analysis on analytical techniques such as regression, factor analysis and cluster analysis and she has published several academic papers on her research in employee and organisational assessment.
When not working, Gauri loves to hike the Canadian Rockies, walking through glaciers, valleys, wading through rivers while keeping her fingers crossed to avoid bear encounters.
