•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.