Name: Anniversary Celebration: networking and panels w/ Starbucks' vp of data science
Start: 2020-03-05T18:00:00-08:00
End: 2020-03-05T20:00:00-08:00

BRING A PHOTO ID TO SHOW TO SECURITY DESK UPON ARRIVAL.

We have a lot to celebrate! Our community has grown immensely over the past two years and we want to take this night to thank all the mentors, volunteers, and speakers who have donated their time and energy to share their knowledge and strengthen our community. The event will be hosted at Starbucks HQ in SoDo.

We will be starting out the night with a keynote from Starbucks' new vp of data science Elpida Ormanidou https://www.linkedin.com/in/elpida/.

There will be two panel discussions:

BEGINNING YOUR CAREER IN DATA SCIENCE

Panel Members:
ERIKA PELAEZ is a data scientist at Amazon with a passion for research, teaching, and deep learning. She started her data science career at a transportation startup in Mexico City. She helps organize data science workshops for Data Circles and leads Pyladies hacknights. https://www.linkedin.com/in/erika-pelaez/

MICHELLE HO is a data scientist at Tableau Software. Previously, she’s been a spatial data scientist for CARTO, a location intelligence and mapping platform, and a technology analyst for the Manhattan District Attorney. She is a graduate of NYU’s Center for Urban Science + Progress (CUSP) program. When not wrangling data, she is most likely to be found rock climbing or running outside. https://www.linkedin.com/in/michelle-ho-a027303a/

CHARLOTTE DZIALO is a data scientist at Amazon. She was a Galvanize data science fellow and now works on the Alexa shopping natural language understanding team. https://www.linkedin.com/in/charlottedzialo/

HOW TO BE A DATA SCIENCE LEADER: CAREER INSIGHTS ON GROWTH, ADVANCEMENT, AND MENTORSHIP

Panel Members:
ELPIDA ORMANIDOU is the new vp of data science at Starbucks. She has over 20 years of experience in data science and people analytics. She's led data science teams at Chico's and Walmart to drive analytical innovation in retail. https://www.linkedin.com/in/elpida

MEGAN BROWN is a lead data scientist at Starbucks. She creates innovative data products on Starbucks' Analytics and Insights team. She worked at T-Mobile and Amazon before coming to Starbucks. https://www.linkedin.com/in/megancbrownphd/

ANAMARIA CRISAN is a research scientist at Tableau. She has been a data scientist for over 12 years and has experience in both the tech and biomedical space. She's created data products to analyze and visualize biomedical and clinical data. https://research.tableau.com/user/anamaria-crisan

SABA BEYENE is the head of people analytics at American Airlines with broad experience in data and technology. She leads analytics and data science initiatives and delivers digital and innovative decision support to a Fortune #1 company of more than 2.3 million associates around the world. https://www.linkedin.com/in/sababeyene/

moderator:
KATE HERTWECK is a bioinformatics training manager at Fred Hutchinson Cancer Research Center and leader of fredhutch.io, which instructs members of the Hutch research community in reproducible computational methods. They have a research background in genome evolution, and also works with The Carpentries, a globally distributed non-profit that teaches data and computing skills. https://www.linkedin.com/in/katehertweck/

Note: IT IS VERY IMPORTANT that we have an accurate RSVP list. We will be giving our security desk a list of names and they will be printing visitor name badges. Please update your RSVP ASAP if you find that you can no longer attend.

Agenda:
5:30-6:00 Food and Networking
6:00-6:10 Welcome and Thank You from Data Circles
6:10-6:15 A few words from Starbucks Recruiting
6:15-6:25 Keynote from Elpida
6:25-7:10 Beginning your Data Science Journey
7:10-7:55 How to be a data science leader
7:55-8:00 Thank you and good night

Note on parking: there is plenty of parking at Starbucks center. We do not require permits after hours.

Data Circles (formerly SeaWIDS)

Technology

Deep Learning

Data Visualization

Women's Support

Artificial Intelligence

Women's Empowerment

Machine Learning

Predictive Analytics

Artificial Intelligence Applications

Data Science

Women Mentoring Women

Women in Leadership

Artificial Intelligence Programming

Natural Language Processing

Predictive Modeling

Anniversary Celebration: networking and panels w/ Starbucks' vp of data science

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Anniversary Celebration: networking and panels w/ Starbucks' vp of data science

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