Projects

Our team members have worked with state and federal government agencies in the United States, contributing to research projects, providing data analytics and engineering support, and conducting training on quantitative tools like

Python, R, and SQL. Their experience includes developing end-to-end data pipelines for data ingestion, processing, and visualization, with a strong emphasis on security and reliability.

Our team members have extensive experience working with tools like Python, SQL, Amazon Web Services, and GitHub to build and maintain scalable data pipelines that process millions of observations regularly. In their previous roles, they contributed to projects like the City Data Explorer, developing custom data ingestion and processing scripts while ensuring rigorous data validation and scalability.

Check out the project here: City Data Explorer

We're currently developing a data strategy for a medium-sized business in the healthcare industry, helping them understand and unlock the potential of their existing data. Our work involves optimizing inventory and sales data to drive better decision-making. The end goal is a dynamic dashboard that provides both real-time and historical insights across multiple product offerings, enabling smarter business operations.

Our team members have experience in supporting data integration for Randomized Controlled Trials (RCTs). This has involved cleaning and linking large-scale datasets (200,000+ observations) using Stata, building surveys in SurveyCTO, and training 30+ field researchers to ensure high-quality data collection.