Technology community platform TechGig in association with American Express and Goldman Sachs will be organising the fourth edition of TechGig Geek Goddess in the month of November this year.
Geek Goddess is managed by the team TechGig, which also holds Guinness World Record for hosting the world’s largest online programming contest, Code Gladiators. The grand finale of Geek Goddess will be held on November 23 followed by Women Disruptors Conference on November 24 in Bengaluru.
For IT employers, diversity is a big concern. The number of women professionals typically dwindles from bottom to top of the workforce at most organisations, leaving the sector with just a handful of women leaders and mentors.
‘’TechGig Geek Goddess has been instrumental in bringing women technologists to the forefront and presenting a latent talent pool to IT employers. This women-only code competition invites women coders to share their ideas and product solutions in different programming languages and ropes in IT industry leaders to mentor these coders,’’ claims TechGig
Announcing the new season, Ramathreya Krishnamurthi, Business Head, TimesJobs & TechGig said, “The brilliance of women technologists remains unsung in many companies. TechGig Geek Goddess is a unique opportunity for women technologists where they can showcase their genius without facing any bias. I invite women coders from all walks of life to join in as we put up this mega show to celebrate talented women technologists with our presenting partner American Express”.
Commenting on the association with TechGig Geek Goddess Ruchika Panesar, Vice President, Global Services Group and Head of Technology, American Express India, said, ‘’As a Woman in technology, I am personally excited by the platform TechGig Geek Goddess provides us to take this vision further and bring talented “Women who code” and “Women Technologist” to the organisation.”
The last edition of TechGig Geek Goddess as per TechGig registered a participation of 49,000 coders with the introduction of new themes like UI, Data Science & IoT.
