Design, build, deploy and maintain the company’s data visualization software offering from scratch. Gained significant experience in software architecture, agile development, front-end UI/UX and design. Experienced with libraries such as d3.js, Vue.js, Jenkins, Jest, Nightwatch and YADA, our in-house database communication tool.

Maintain and significantly improve the performance of the Company’s data analysis pipeline by writing maintainable, modularized components in support of our Data Science team. Continued to hone expertise in Python.

Leading a culture shift towards better Devops by advocating and demonstrating proper git usage. Also an advocate of modularized Python packages by way of deploying and maintaining an internal pypi server via Jenkins.

Analyze aberrant clinical data signals from our proprietary data surveillance system.

Provide on-going analysis of data trends and provide clinical recommendations as needed.

Implement applications, tools, and processes that assist with data acquisition, management, and interpretation.