Develop, execute, alter, and debug Python scripts to perform a wide variety of mission-critical data transformations; Effectively communicate with technical and non-technical colleagues to efficiently resolve issues affecting sales, client commitment and success, operations, product, and data pipeline cycles; Ensure availability and backup by versioning and sharing artifacts in data repositories; Execute and monitor a control plan to ensure process accuracy and efficiency; Extensively utilize advanced Excel techniques to work with large datasets and macros for maintaining a database of client data, delivering status reports on campaign life cycles, driving spend, and various other needs; Generate technical and procedural documentation and assist teammates and new hires with training and technical support; Manage multiple shared mailboxes for responding to incoming requests and inquiries; Own oversight of testing (and “breaking”) minimum viable products while recognizing bugs and areas for improvement, assisting with troubleshooting of issues, and developing “work-arounds”; Use analytics by way of Python, SQL, and Excel to create weekly and quarterly metrics reports for senior leadership and executives to gain insights from performance lookbacks.

Disseminated accurate and timely information to motorists and stakeholders using data-driven intelligent transportation systems across various channels; Responded to incidents that affected traffic by monitoring 24-hour closed-circuit television cameras and a computer-aided dispatch feed from Virginia State Police, posting changeable message signs, pushing information to the Virginia 511 system, and calling out the necessary resources to mitigate the issues; Served on-call for natural disasters and emergencies.

Coordinated travel arrangements and conferences from start to finish for officers of the organization and colleagues visiting from overseas; Managed various projects to ensure the increased productivity of senior leadership; Reviewed hedging documents, freight bills, and sales and expense reports for accuracy and completion.

Conducted research on enrollment trends and emerging disciplines at over 200 colleges of agriculture, natural resources, and human sciences and published periodic newsletters detailing recent data findings and trends for the USDA; Served as a first point of contact for FAEIS database end-users; Updated the Food and Agricultural Education Information System (FAEIS) database with current and historical figures related to enrollment, student placement, and degrees awarded data.