• Contributing to the development and maintenance of a full-stack care management web application implemented using React, TypeScript, GraphQL, and PostgreSQL

• Architecting and maintaining integrations between internal applications and external vendors including health information exchanges (HIEs) and electronic medical records (EHRs)

• Developed data pipelines on GCP utilizing dbt SQL, Python, and Go for the processing and movement of both standardized and unstandardized member data

• Co-led a small scrum team to align development efforts with larger organizational goals

• Development of cancer registries as containerized full-stack React web applications

• Mapping and migration of data in Python, with an emphasis on standardizing data elements

• Integration of data visualization tools with existing platforms for cancer data

• Use of AWS services, including S3, Lambda, SQS, and ECR, for the development and maintenance of data pipelines

• Creation and development of packages in R focused on genomic data with Bioconductor

• Performed exploratory data analysis and applied machine learning techniques to data sets pertaining to cerebrovascular disease

• Built predictive models for medical outcomes based on electronic medical record data, including the use of natural language processing on medical notes

• Performed exploratory data analysis and applied machine learning techniques to data sets pertaining to cerebrovascular disease

• Built predictive models for medical outcomes based on electronic medical record data, including the use of natural language processing on medical notes