AI Trends Shaping 2020 w/ the NBA, Verizon and Etsy

Washington, D.C. Campus

GA D.C.
509 7th Street NW, 3rd Floor
Washington D.C. 20004

AI Trends Shaping 2020 w/ the NBA, Verizon and Etsy | Washington, D.C.

Washington, D.C. Campus

GA D.C.
509 7th Street NW, 3rd Floor
Washington D.C. 20004

About this event

Join us in our first meetup of the year as we bring in data experts across industries to discuss AI Trends that will shape 2020 including:

  • Active Learning
  • Reinforcement Learning
  • Expanding AutoML
  • Quantum Computing and AI
    • Schedule:

  • 6:30pm: Food & Drink Networking
  • 7:00pm: Panel Discussion
  • 7:30pm: Break-outs with panelists
    • Panelists:

  • Jordy Kieto - Data Scientist at National Basketball Association (NBA)
  • Moumita Bhattacharya - Senior Data Scientist at Etsy
  • Sanjit Paliwal - Senior Data Scientist at Verizon
  • Bios:

    Jordy Kieto is a Data Scientist at the NBA and Columbia University.. He was previously a Machine Learning Engineer at Pepsico after switching to Data Science from Software Engineering. He studied English and Drama during university, and made the transition into tech through self-study and attending hackathons. This passion for the liberal arts has translated into a desire to ethically use data for bettering lives.

    Moumita Bhattacharya is a Senior Data Scientist at Etsy, a two-sided marketplace for buyers and sellers. At Etsy, Moumita develops recommendation systems to show relevant items to Etsy users. Recently, she developed a ranking method to improve conversion rates and gross merchandise sales of the company. As a part of another project, she worked on a new module recommending shops for a user on the Etsy app, which led to increased conversion rates. She is currently building custom objective functions to optimize for metrics beyond relevance and is also incorporating different contexts in recommendations. Moumita has a PhD in Computer Science with a focus on Machine Learning and its applications in disease prediction and patient risk stratification. During her PhD, she developed machine learning methods for risk prediction of heart disease and chronic kidney disease, in collaboration with cardiologists from John Hopkins and nephrologists from the largest hospital in Delaware. Prior to grad school, Moumita worked as a software engineer for three years in the financial services industry.

    Sanjit Paliwal: TBD

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