Diversity as a Data Science Imperative (feat. Spotify, MongoDB, WiMLDS & Turner)

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General Assembly

902 Broadway · New York, NY

How to find us

4th Floor Please RSVP on GA as well: https://generalassemb.ly/education/diversity-as-a-data-science-imperative-feat-spotify-mongodb-wimlds-turner/new-york-city/74871

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Details

In order to gain entry you MUST RSVP on this meetup AND General Assembly: https://generalassemb.ly/education/diversity-as-a-data-science-imperative-feat-spotify-mongodb-wimlds-turner/new-york-city/74871

Schedule
6:30pm: Pizza, Beer, Networking
7:00pm: Panel discussion
7:30pm: Break-outs w/ panelists

Data science has drastically transformed in recent years, drawing attention to its ability to produce real impact across a number of industries. However, despite its many evolutions, the field has seriously lagged in successes in diversity - with the lowest variety in gender, race, and education diversity in technical fields (https://www.forbes.com/sites/priceonomics/2017/09/28/the-data-science-diversity-gap/#2c5ff90a5f58).

Thus, we're bringing together leaders from Spotify, MongoDB, WiMLDS, and Turner Broadcasting to discuss the impact diversity can have on the field, ranging from AI ethics to the perception of the data scientist role. Following the panel, we'll break out into speaker-led groups for smaller discussions on how we can actively contribute to building diversity in our own work.

We will also be collecting donations for the AnitaB.org foundation through a voluntary $5.00 Venmo to @Dataiku-Inc.

Panelists
Inga Chen, Product Manager @ Spotify and NYC Chapter Lead for Women in Product
Haile Owusu, SVP of Analytics, Decision and Data Sciences @ Turner Broadcasting
A. Jesse Jiryu Davis, Staff Software Engineer @ MongoDB
Reshama Shaikh, Board Member of Women in Machine Learning & Data Science
Triveni Gandhi, Data Scientist @ Dataiku

Speaker bios
Inga Chen leads two personalization & discovery product teams at Spotify focused on building data and ML models fir Discover Weekly, Release Radar, Daily Mix, Home, Voice & Search. Before Spotify, she led user-facing analytics products at Squarespace, turning data into actionable insights across web & mobile. Before moving to New York, Inga was a product manager in San Francisco, leading a variety of consumer and enterprise products at Automatic Labs, which leveraged ML and data science to empower drivers with insights into their driving behavior and car health. Outside of her day job, Inga hosts tea ceremony pop-ups and leads the New York Chapter of Women in Product, a community of over 1,100 women product managers and leaders in NYC.

Haile Owusu is senior vice president of analytics, decisions & data sciences at Turner. In this role, Owusu focuses on building out Turner’s DS capabilities, expanding the company’s scope in applying analytics, data and decision sciences to enhance its products. His DS team works closely with many of Turner’s business groups to translate strategies into execution plans for new decision support systems and audience insight strategies.

Jesse is a Staff Engineer at MongoDB in New York City. He and Guido van Rossum are coauthors of "A Web Crawler With asyncio Coroutines", a chapter in the "500 Lines or Less" book in the Architecture of Open Source Applications series. Jesse lives in Manhattan with his partner Jennifer Armstrong, and their dwarf hamsters Hazel and Gertrude.

Reshama is a freelance data scientist/statistician with skills in Python, R and SAS. She earned her M.S. in statistics from Rutgers University. She earned her M.B.A. from NYU Stern School of Business studying strategy, business analytics & technology management.
She began her career at Educational Testing Service, then worked for over 10 years as a biostatistician in the pharmaceutical industry at companies including PPD, Merck, Thomas Jefferson University and Pfizer. She also taught math and statistics for 2 years at Temple University.

Triveni is a Data Scientist with Dataiku, working with clients to determine best practices around DS and their specific projects. She previously worked as a Data Analyst with a large non-profit dedicated to improving education outcomes in NYC. She holds a Ph.D in Political Science from Cornell University.