ENSAI: Aurélie Vanheuverzwyn on Women’s Place in the Data Industry

ENSAI: Aurélie Vanheuverzwyn Shares Her Perspective on the Role of Women in Data Data Digital data Find out more Careers

A Panel Panel A sample from which information is collected over time. It can be questioned several times at regular intervals. This method is pertinent for studying changes in behaviour. The sample can be questioned continuously: - either: each individual in the panel is asked to fill in a daily questionnaire relating to the subject of the study. This is the case for the Radio panel. - or the information is recorded and returned regularly. This is the case for the Médiamat panel. This method is pertinent for understanding behavioural patterns and their changes if the panel lasts long enough. Find out more Discussion on Women in Data for ENSAI’s 30th Anniversary. As part of ENSAI’s 30th anniversary celebrations, Aurélie Vanheuverzwyn, Executive Director of Data and Methods at Médiamétrie, took part on April 7 in a panel discussion organized by ENSAI Alumni and dedicated to the role of women in data and statistics statistics Statistics or Data Science is a field of mathematics that studies phenomena through data collection, processing, analysis, graphical representation and visualisation (Data Visualisation), as well as the interpretation of results. Find out more careers.

Designed as an open and candid conversation, the event brought together several professionals from diverse backgrounds to share their career journeys, experiences, and perspectives on the evolving data landscape.

Insightful Discussions on Career Paths and Industry Realities

Alongside Aurélie Vanheuverzwyn, the panel featured:

• Natacha Njongwa Yepnga, Data Science Consultant and Trainer
• Laurine Bonin, Statistical and Actuarial Research Engineer at LCL
• Margot Perben, Project Manager at the French Ministry of Health

The discussion provided a rich exchange of complementary perspectives, combining professional experiences, shared challenges, and reflections on career development in data-related fields, with active participation from the audience audience The set of listeners, viewers, or TV viewers in which each individual is equally weighted, regardless of their listening/viewing duration or frequency of contact. Find out more . Driving Greater Gender Diversity in Data.

The panel addressed several key topics from a practical perspective, including: The realities of working in demanding data environments. The challenges encountered throughout professional careers. The actions and initiatives that can help strengthen diversity and gender equality in data and statistics professions over the long term.

Through her testimony, Aurélie Vanheuverzwyn emphasized the importance of fostering inclusive data cultures, recognizing diverse career paths, and promoting collective initiatives that support women's access to and advancement within the data industry.