Data Scientist with over 14 years of Healthcare Experience and 8 years of Analytics Experience that can use Data Science to solve any real world problem.
Data Science Related Projects:
How do you get through each of the data science steps and what considerations must be addressed.
Python Flask Heroku TensorFlow 2.0 MachineLearning
Application that could be integrated into any part of the workflow
Python Flask TensorFlow 2.0 MachineLearning
Use Facebooks forecasting module to predict future key performance indicators
Python Docker FBProphet Streamlit
Perform data science steps to answer the question of, "What is correlated with Unpaid Procedures?"
Python Docker Machine Learning RandomForest
Perform data science steps to answer the question of, "What is correlated with Salary?"
Python Machine Learning Heroku XgBoost
Application used to show the 10 year risk of developing cardiovascular disease (based of 2013 American Heart Association Study)
R Shiny Apps
Developing machine learning tools to help solve problems plaguing the health system such as deferred care.
Leading Artificial Intelligence/Machine Learning Initiatives, establishing a framework for how Data Science will be offered to clients, partnering with Early Adopter clients to understand where to focus Intelligence efforts, developing prototypes for future product intelligence, developing business intelligence visualizations, connecting Business Intelligence with Artificial Intelligence, and inserting Business Intelligence into the Clinical Workflow.
Managed an on-premise Reporting/ETL system. Lead the roadmap of an Ambulatory Reporting/ETL solution powered by MicroStrategy to support adhoc reporting needs.
Developed business requirement and interfaced with clients for a reporting solution. Developed specification for clincal regulatory measurs.
Implementated and lead the implementation of an Electronic Healthcare Record for a large, multi-state, multi-specialty healthcare organization.
Participated in a rapid deployment strategy for Ambulatory Healthcare organizations. Led, managed, and supported over 30 different client go-lives. Mentored other team members to ensure that the team was well-balanced in expertise.
GPA - 3.83
GPA - 3.54
GPA - 3.54
For a detailed reference about this section, please visit this link.
Most recent workshops: