An algorithm is only as valuable as its adoption. Speed to value, repeatability, and low-cost solutions can dramatically reduce software and services budgets and free up valuable dollars for other activities. Open-source tools such as Shiny (R) and Flask (Python) have enabled the creation and deployment of data science-based web applications convenient and manageable. In the healthcare data science world, we routinely wrap sophisticated statistical code into such web-based point-and-click solutions. In this talk, you will learn about real-life examples of how one can rapidly operationalize intricate algorithms using web app frameworks.
Shatrunjai ‘Jai’ Singh is a Lead Data Scientist at Aetna, a CVS Health Company and specializes in data mining, predictive modeling, and data visualization. His work has received several awards including the American Heart Association and the Epilepsy Foundation. He won the Tableau Chart-Champion in 2016 and was included in the ’40 under 40’ for innovation by LIMRA International.