Project Name: ICU Survived
We built a machine learning model, which predicts the probability of survival in the ICU. The model allows hospitals to prioritize high risk patients - especially when ICU's are near capacity. Additionally, it would help in identifying unexpected patient outcomes that allows physicians to improve clinical decision making.
I have 15 years of real-world work experience with domain expertise in engineering, research, regulatory compliance and environmental modeling. With this experience and data science technical skills, I can thrive in any challenging situation.
data exploration and extracting data insights relevant to the organization.
Austin TX | San Antonio TX | Remote
Work ethics, eagerness to learn and problem solving skills
Data exploration, machine learning, communicating data summary to business leaders
