The Data Science for All: Women's Summit - San Francisco wrapped up on June 19th as program Mentees presented the capstone projects they have been working on for the last 3 months. 

DS4A Women's Summit San Francisco kicked-off in early March with in-person practical data science training training and mentor matching. Quickly, we were forced to transition into a virtual format. Mentees persevered, and made the most out of our virtual format, joining professional development workshops featuring program mentors who shared their experiences on topics like resume writing, interviewing, communicating results with stakeholders, and how to achieve success in the first 6 months on the job.

For background, DS4A: Women's Summit increases the representation of women in technical data roles by providing women with elite quantitative professional/academic backgrounds with technical skills training, professional mentorship, and increased access to employment opportunities. Our 100 program mentees were selected from over 1,000 applicants, representing the best of the best in the Bay Area.

Our Final Presentation Day was virtually attended by Mentees, Program Mentors, and Sponsors. Capstone projects tackled topics like transportation, mental health in the workplace and quantitative trading strategies. Following each presentation, we opened the floor for questions and all event participants voted on the project.

Following presentations, participants voted for the Best Project Presentation and Social Impact awards. You can check out the winning group's projects below


Best Presentation: NLP New Sentiment Factor Trading Strategy for a Portfolio of S&P 500 Stocks

Women in data science. Data science for all: women summit. Best Presentation: NLP New Sentiment Factor Trading Strategy for a Portfolio of S&P 500 Stocks
Presenters: Anastasia Tatarenko, Daria Yurova, Yang Su, Ningyuan Zhang, & Rohini Shimpatwar


Social Impact Award: Propaganda Detection in News Articles

women in data science. data science for all: women summit. Social Impact Award: Propaganda Detection in News Articles
Presenters: Ijeamaka Anyene, Megan Pera, Adeline Wong, Tanisha Kaur


About the DS4A Women's Summit

Correlation One is continuing its mission to promote gender diversity in data science via the Fall 2020, Data Science for All: Women's Summit- Virtual Edition, kicking off September 18.

Women are 46% of the workforce, but hold only 26% of STEM jobs. Many women drop out of STEM careers because they lack support navigating a field dominated by men. In the Data & Analytics space, well-intentioned employers seeking to create workforces reflective of our diverse society struggle because of supply-side challenges- only 35% of data science students are women and only 12% of data science students identify as black, latinx, or LGBT+.

The Data Science for All: Women's Summit increases the supply of women into data science & analytics by providing practical skills training, individual mentorship opportunities, and exclusive employer engagements.

So far, the Data Science for All: Women's Summit has helped elite women with quantitative backgrounds improve their data careers via the DS4A Women's Summit New York (Fall 2019) and the DS4A: Women's Summit- San Francisco (Spring 2020). This fall, in light of COVID-19 disruptions, Correlation One will invite 150 top students and young professionals from around the world to participate in the Women's Summit virtually.

Participants will spend five weeks in September and October completing industry-specific data science projects, case studies, and professional development seminars while working closely with established professional mentors across finance, consulting, and technology. The program culminates with a virtual presentation day and career fair where participants present their work and connect with sponsoring employers, peers and mentors in data science.

If your firm is committed to gender diversity in data science and analytics and wants to join us on our mission to make Data Science for All, please get in touch.

Publish date: July 10, 2020