Jinnia Baiye

I've delivered data migration and CRM implementation solutions for more than 150 nonprofit clients at Neon One, supporting organizations processing over $22M in donations. I transform inconsistent, multi-source datasets into clean, standardized CRM-ready data and build mapping rules that improve accuracy and usability.

I translate client needs into system configurations, reporting processes, and practical data solutions. My work includes client training, stakeholder enablement, workflow automation, and collaboration with offshore technical teams while maintaining a 98% average CSAT score across 20+ concurrent implementations.

At UMass Chan Medical School, I supported change management and data-driven program implementation, including Project NORTH's transition from paper-based workflows to structured digital data collection and reporting. I helped streamline participant tracking and outcomes reporting, reducing manual processing by 25%.

I'm completing an MS in Data Science and apply Python, SQL, Azure, Power BI, Tableau, and visualization methods to healthcare and operational datasets. My capstone work analyzes preventable disease risk factors across multiple public-health datasets using exploratory analysis, statistics, machine learning, and data storytelling.