Process Mapping
The Works, Inc.
Built internal software systems to expedite eviction settlement processes, heirs' property programs, and program reporting. Streamlined case management workflows and automated data collection, enabling the organization to serve significantly more clients while reducing manual administrative overhead.
Law Center for Better Housing
Conducted comprehensive process mapping and implemented automation solutions that transformed case management workflows. Reduced manual data entry, improved case tracking capabilities, and enhanced reporting systems for better program outcomes measurement.
Indiana Legal Services
Interviewed legal staff to identify barriers and opportunities in leveraging technology to provide legal services. Conducted stakeholder workshops and developed strategic recommendations for improving operational efficiency and client service delivery.
Alliance for a Healthier Generation
Reviewed existing data infrastructure and developed comprehensive roadmap for improving data utilization and accessibility. Created strategic plan for integrating disparate data sources and enhancing organizational reporting capabilities.
Mid-Atlantic Innocence Project
Developed efficient workflow management systems and new data collection tools to produce insights about wrongful convictions. Automated document processing and created dashboards for tracking case progress and outcomes.
Connecticut Department of Housing
Facilitated user interviews and stakeholder consultations to recommend system improvements. Analyzed existing workflows and provided strategic guidance for enhancing data management and reporting capabilities.
Interamerican Development Bank
Facilitated user interviews and process mapping workshops to recommend system improvements. Explored applications of generative AI for enhancing organizational workflows and decision-making processes.
HopeWorks
Guided case management system selection process and supported data team development initiatives. Provided strategic consulting on technology adoption and staff capacity building for data-driven programming.