28 November 2018
Interested in a career in Data Science? Unsure which skills you need to own? During this event, we will gather professionals in the Data Science industry who will share their own stories and answer all your questions.
We are thrilled to partner with Anita B.org New York on this event who connects local women technologists just like you. You can build your network, discover the future you want, and get guidance you can use now.
Tonight's event will discuss the career transition and launching a career in data science.
6:30 - 7:00: Check-in and mingling
7:00 - 7:45: Lighting talks with Q&A by each speaker
7:45 - 8:30: Networking
Geeta Shroff is the CEO of ChalkSense, LLC, where she works on data science initiatives such as RegulatoryGenie(TM) to enable life sciences professionals to decrease the time, costs, and risks of bringing medical innovations to market. She is also a co-lead at AnitaB.org NY and a speaker on entrepreneurship and data-driven topics.
Noemi Derzsy holds a PhD in Physics and research background in Network Science and Computer Science. Her interests revolve around the study of complex systems and complex networks through real-world data. Currently, she is a Senior Inventive Scientist at AT&T Labs within the Data Science and AI Research organization, doing lots of science with lots of data. She is also a NASA Datanaut and co-organizer of Women in Machine Learning and Data Science NYC chapter.
Stacey Schwarcz is a data scientist who is passionate about creating order from chaos. She started her career in the insurance industry before moving into transportation and eventually into data science. She has been involved in analytics throughout her career and considers herself to have always been a data scientist, even before the term existed. Over the last few years she completed an M.S. in Data Analytics and served as Head of People Analytics for a global financial institution. She recently founded Ariel Analytics (www.arielanalytics.com), a data science and strategy consultancy, to guide companies in developing and adopting better data strategy so that they can maximize the value of their data.