Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Mauro Damo

Mauro Damo
Senior Data Scientist, Dell EMC

Website

Mauro Damo is a senior data scientist at Dell, where he is responsible for helping organizations identify, develop, and implement analytical solutions in big data environments, focusing on solving business problems. He has developed and implemented analytical projects for a number of companies in a range of industries, including health care, mortgage insurance, financial brokers, cable companies, nongovernmental organizations, and supply chain. He has experience with a wide range of supervised and unsupervised models, including time series, graphs analysis, optimization models, and deep learning models such as convolutional neural networks, recurrent neural networks, neural networks, clustering, dimensional reduction, tree algorithms, frequent pattern mining, ensembles models, Markov chains, and gradient descent. Mauro holds patents, has authored several papers, and speaks at international conferences, seminars, and classes. His main programming languages are Python, R and SQL. He holds an MS in business, an MBA in finance, an undergraduate degree in business, and an associate degree in computer science.

Sessions

11:00am11:40am Wednesday, March 7, 2018
Strata Business Summit
Location: 210 D/H
Mauro Damo (Dell EMC), Wei Lin (Dell EMC)
Average rating: ***..
(3.50, 2 ratings)
Image recognition classification of diseases will minimize the possibility of medical mistakes, improve patient treatment, and speed up patient diagnosis. Mauro Damo and Wei Lin offer an overview of an approach to identify bladder cancer in patients using nonsupervised and supervised machine learning techniques on more than 5,000 magnetic resonance images from the Cancer Imaging Archive. Read more.