WiDS Bengaluru Datathon Workshop

The challenge is to create a model that uses data from the first 24 hours of intensive care to predict patient survival. MIT's GOSSIS community initiative, with privacy certification from the Harvard Privacy Lab, has provided a dataset of more than 130,000 hospital Intensive Care Unit (ICU) visits from patients, spanning a one-year timeframe. This data is part of a growing global effort and consortium spanning Argentina, Australia, New Zealand, Sri Lanka, Brazil, and more than 200 hospitals in the United States.

WiDS Bengaluru Datathon Workshop
Date: 01 Feb, 2020
Venue: N-001, Indian Institute of Management Bangalore, Bannerghatta Road, Bengaluru, Karnataka 560076, India

Agenda:

8:30
REGISTRATION
09:00
WELCOME & OPENING REMARKS
WiDS Bengaluru Ambassadors
09:15
DATATHON CONTEXT

Setting the context of global WiDS Datathon
Shreya Khare, Staff Engineer, IBM, Research Labs
09:30
Kaggle platform demo, Demo on attempting healthcare data challenge on Kaggle
Usha Rengaraju, Principal Data Scientist & 3x Kaggle Expert, MCG
10:45

BREAK

11:00
WORKSHOP TALKS

Building predictive analytics models on survival analysis - Gayatri Pal Chandrasekaran, Data Science Senior Manager, Walmart Labs

11:45
Best practices for effectively solving Datathon challenges - Chirasmita Mallick, Senior Data Scientist, G2
12:30
Mentor introduction and assignment - Aarthi Kumar, Data Scientist and Co-Founder, Vyakya Technologies
12:45
NETWORKING AND CLOSING

ORGANIZERS:

Workshop presenters:

  • Usha Rangaraju

    Principal Data Scientist, Polymath

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  • Chirasmita Mallick,

    Data Scientist, G2

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  • Gayatri Pal

    Senior Manager, Walmart Labs

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Datathon Mentors: