Christopher Rogers
Verified Expert in Engineering
Software Developer
Chris has an educational background in chemical engineering and a passion for driving and improving business operations with data. Currently, he's striving to provide better health outcomes and hospital experiences to cancer patients at Memorial Sloan Kettering. He works with analytics tools like R, Python, Tableau, SAS, and SQL to sift through data of various types and deliver insight.
Portfolio
Experience
Availability
Preferred Environment
Windows, Python, Tableau, SQL, R, MacOS
The most amazing...
...business intelligence project I've worked on combined patient data from many sources, performed advanced calculations, and flagged high-risk patients.
Work Experience
Business Intelligence Analyst II
Memorial Sloan Kettering Cancer Center
- Connected distributed data systems using R, Python, and SQL and consolidated information for data visualization.
- Constructed interactive Tableau dashboards for doctors and hospital management to test hypotheses, study patient care, monitor KPIs, and identify areas for operational improvement.
- Led the technical part of a multidiscipline research project investigating the use of natural language processing (NLP) to classify Memorial Sloan Kettering’s patient messages and identify patients that could be at negative health risks.
- Acted as the lead developer of bizi, the Business Insights team’s core Python package that works to standardize business logic and frequently used queries for our group and the wider MSK data community.
- Devised a process that tokenizes radiology reports using NLP techniques and employs logistic regression and support vector machine classification models to identify improperly documented surgeries.
Senior Healthcare Data Analyst
VillageMD
- Mined and analyzed patient data from medical claims, pharmacy claims, and electronic medical records (EMR) to discover actionable insights on ways to provide better care for patients and drive business operations.
- Created and implemented a more efficient data model and reporting process that performed ETL from disparate data sources, calculated key metrics, and created logical output tables for data visualization in Tableau.
- Stratified the Indianapolis patient population using a multivariate predictive risk model to recommend the highest risk individuals to our ancillary care programs to ensure quality care and better health outcomes.
- Collaborated with IT teams to optimize data acquisition and plan future data system architecture within Amazon Web Services (AWS) to best support current and future analytic processes.
Skills
Languages
SQL, SAS, R, Python
Tools
Tableau
Paradigms
Business Intelligence (BI)
Education
Master's Degree in Applied Analytics
Columbia University - New York City, NY, USA
Master's Degree in Chemical Engineering
Cornell University - Ithaca, NY, USA
Bachelor of Science Degree in Chemical Engineering
Cornell University - Ithaca, NY, USA
Certifications
SAS Advanced Programmer
SAS Institute
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