Built a fully-tested data pipelining process using OOP, Luigi, and Pandas that was configurable from a spreadsheet.

Worked across the whole project stack as needed (Python, Luigi, Pandas, TypeScript, React, Plotly).

Built analytics dashboards using Jupyter and Matplotlib with deployment to AWS ECS using Docker and Terraform.

Wrangled fractured data schemas into a central visualization using DbSchema ERD, identifying PII along the way.

Generated accurate regulatory reporting numbers from lossy data on short notice

Consulted with other departments to run statistical analyses

Coordinated between different admissions stakeholders: admissions, marketing, sales, instructional, and leadership to gather, vet, and negotiate process improvements.

Used data to analyze the effectiveness of current processes, suggest improvements, and validate changes

Managed and trained a remote team of 7-10 interviewers and 4-5 reviewers

Managed the day-to-day admissions process, addressing any hangups or outliers

Built and maintained a flexible, versioned JSON web form rubric system (JSON-Schema, React)

Built and maintained an analytics toolkit using SciPy for statistical analysis and A/B testing support and Pandas + dynamic SQL to create a consistent interface for querying and merging data across PostgreSQL, Redshift, and Salesforce SOQL.