• Developed an agent-based model in Python to predict food insecurity, drawing the interest of 5 policy and planning organizations• Spearheaded targeted discussions with 10 key clients to gather insights and feedback, leading to the implementation of two highly requested features• Directed a cohesive team of 8 undergraduates and graduates representing 3 top universities, establishing a feedback-driven culture that empowered team collaboration• Designed a frontend user interface with React.js and operated a PostgreSQL database through API endpoints• Taught and maintained good GitHub development workflow practices for 6 junior developers

• Reduced Agent-Based model runtime by >75% compared to the old software• Integrated 3 new data sources into the model and devised 5 improved testing metrics• Streamlined processes for census API pulls, reducing code by 2x and compacting into 1 script• Clarified complex algorithms by writing 100+ explanatory lines of comments in previously hard-to-read code• Implemented 3 Ruby on Rails API endpoints for a Vue3 frontend application

• Managed a small team with a throughput of 500+ HPLC and GC/MS samples per week• Created macros to improve efficiency, resulting in 2x reduction in data entry and analysis time for 6 technicians• Researched and implemented new GC/MS procedures, expanding the lab’s portfolio by 3 complex compounds• Transformed data organization and validation, reducing data input errors and data loss• Spearheaded communication with scientist clients, delivering crucial data sets on time and identifying key areas to reduce error rates