Implemented end-to-end data validation processes and cross-functional QA, reducing data discrepancies and improving trust in critical systems. Designed and launched real-time KPI dashboards used by leadership and operations to accelerate decision-making and monitor daily performance. Led AWS generative-AI features integration into the internal application to enable intelligent automation and improve user experience. Deployed Pendo to track feature usage and user journeys, driving product decisions that increased feature adoption and supported retention initiatives. Migrated ~100 reports from Pandas scripts to optimized SQL queries, cutting reports run times from hours to seconds and substantially reducing month-end failures. Partnered with product and engineering to embed analytics into the development lifecycle, ensuring new features shipped with measurable success criteria. Acted as analytics point-of-contact for cross-functional stakeholders, translating business needs into scalable data solutions.

Designed and implemented a data analysis and visualization system to streamline interpretation of experimental results and improve research efficiency. Led a research initiative focused on synthesizing advanced materials and constructing chemical reaction systems, from concept through experimental execution. Engaged in community outreach by presenting scientific findings at public events, fostering broader understanding and appreciation of scientific research. Collaborated with cross-functional teams to integrate experimental data into cohesive reports, enhancing data-driven decision-making. Applied statistical methods to evaluate trends and validate experimental outcomes, contributing to high-quality scientific publications and presentations.