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Tech in Motion SF Presents: Women in Engineering!


Join us at San Francisco's 7th Tech in Motion event! RichRelevance ( will be opening their doors to techies in the area so that guests can meet and network with others of similar interest! Don't be discouraged by the event name! Everyone is welcome. Enjoy a free happy hour, along with some delicious snacks, while talking tech. Three guest speakers will follow, giving informative and inspirational talks as women who have excelled in their career paths. Workbridge Associates ( and Jobspring Partners ( will be onsite to offer any career consulting advice or insight. We can't wait to see you there on Wednesday, April 24th! Please bring a friend! Make sure to follow us on twitter for updates, reminders, and live pictures on the meetup: @WorkbridgeSF ( and @JobspringSF ( Meet your speakers:

Gabriela de Queiroz ( is a statistician and the founder of R-ladies -- a group to promote R, exchange knowledge, and create a network among women. Using statistical tools (such as R), she is passionate about making beautiful things and telling stories with data. With this explosion in the availability of information, faster and more efficient tools are needed to extract meaningful patterns from data. She will introduce R, explain why it is so powerful, show some packages for visualizing and exploring large data sets, and give examples along with some applications.

Julia Grace ( was the first employee at Tindie ( ("Etsy for Hardware Hackers") where she is currently the engineering lead. Having an abundance of startup experience, she will share her knowledge with us. If you think your company's culture is "impromptu nerf gun fights and catered lunch", you're wrong. She will talk about what culture really is and how if you don't actively create it, it will be created for you.

Ruma Nair ( works as a software engineer at RichRelevance in the platform team. Her work includes solving fun problems like scaling the infrastructure, dabbling with "Big Data", and improving performance. Ruma will delve into Big Data.

633 Folsom Street, 4th Floor · San Francisco, CA