Lyndsay Weir is global data and analytics manager at Nestlé. At the Women in Data conference in November, she was named as one of the new list of female industry role models, the 20 in Data and Tech. She told DataIQ how being a female leader and role model can be done in a quiet way.
Bhagya Reddy is principal data engineer at QuantumBlack, a McKinsey company. At the Women in Data conference in November, she was named as one of the new list of female industry role models, the 20 in Data and Tech. She told DataIQ what it means to her and shared her views on the sector.
Yasmeen Ahmad, of Teradata, began her data career with a PhD in proteomics data. She tells Toni Sekinah about being a role model for women in data, the different attitudes to regulation in Europe and the US and why she is so excited by the prospect of personalised medicine.
Since launching in 2015, Women in Data has seen its community and conference audiences grow significantly. On the eve of the fifth event, its co-founders told David Reed why, despite an active and growing cohort of female data practitioners, there is still such a long way to go - and therefore a need for the network.
In the wake of Ada Lovelace Day several women working in STEM fields shared their views on the difficulties of working in the industry, what can be done to encourage more women and girls to enter the field and steps that can be taken to facilitate that.
The global solidarity campaign for gender equality HeForShe was founded five years ago in June 2014. What does this mean on the ground in the data world? How do men who are supporting women in data showing that support? Toni Sekinah speaks to three men in data and technology to find out.
It was International Women’s Day on Friday 8 March and for those who may wonder why the need for female-focused days, events and initiatives, Toni Sekinah offers some salient arguments as to why they are necessary, especially in the world of data and analytics.
Many of the people who work in data have a background in STEM subjects but equally the study of arts and humanities can form a strong basis for a career in analytics. Tess Merkulova tells Toni Sekinah why it is important to her as a data professional to pay very close attention to detail, and what are the similarities between data and comparative politics, which she studied to degree level.