Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Taposh DuttaRoy

Taposh DuttaRoy
Manager, Innovation, Kaiser Permanente

Website | @taposhdr

Taposh Roy leads the innovation team within the Decision Support Group at Kaiser Permanente. His work focuses on journey analytics, deep learning, data science architecture, and strategy. A consumer-focused machine learning and data science geek, Taposh has a unique combination of product, technology and strategy consulting, data science, and startup experience. Previously, he was head of AD products at Inpowered and Netshelter (acquired by Ziff Davis); senior associate consultant in MIT-based consulting company Sapient; and cofounder of biotech company Bio-Integrated Solutions, where he developed DNA sequencers and liquid handling devices for proteomics.

Sessions

2:30pm–3:00pm Tuesday, March 26, 2019
AutoML and interpretability in healthcare
Case studies
 Location: 2022
Secondary topics:  Automation in data science and big data, Ethics, Health and Medicine
Taposh DuttaRoy (Kaiser Permanente), Sabrina Dahlgren (Kaiser Permanente)
Average rating: ***..
(3.00, 3 ratings)
The healthcare industry requires accuracy and highly interpretable models, but the data is usually plagued by missing information and incorrect values. Enter AutoML and auto-model interpretability. Taposh DuttaRoy and Sabrina Dahlgren discuss tools and strategies for AutoML and interpretability and explain how KP uses them to improve time to develop and deploy highly interpretable models. Read more.