• Enhanced customer ability to perform job duties by providing access to valuable real-time information through an extensible, self-service dashboard framework.

• Provided insights and influenced decision making on long term real estate operational goals by developing a RESTful service that automatically syncs data with the energy benchmarking service ENERGY STAR.

• Increased confidence in releases through thorough test coverage and testing scripts that reduced the number of bugs introduced into production by half

• Developed data management system in PostgreSQL and JavaScript stack to dynamically query and aggregate geospatial data and rank locations based on a scoring algorithm to pinpoint the most cost-effective and profitable areas to invest in buildings and real estate for a wide array of industries.

• Developed Neo4j and PostgreSQL graph database and interface on JavaScript stack that allows users to explore political campaign data.

• Developed SQL Server scripts to ingest, clean and massage data for use in supply chain analytics.

• Developed Python scripts that wrangled data from reporting systems and allowed for better market analysis of biotechnology data.

• Designed and developed mock data generator module in Python with a Django-based interface that allows for the creation of realistic looking relational data with dynamic statistical distributions, which saved days’ worth of person-hours in projects where data is not readily available and must be mocked.

• Continued full stack development for Unity to further enhance its support for clinical trials and registries, such as creating an email alert system and automated reports.

• Created secure web portal for physicians to access patient information that utilized jQuery, Bootstrap and Sass with object-oriented PHP and Oracle.