San Diego, California, United States
Data analyst and applied data science professional with experience in public service, operations, and business analytics. Focused on workflow automation, data quality, business intelligence, and predictive analytics. Experienced building Python-based reporting solutions, ETL workflows, Tableau dashboards, and data validation processes that support operational decision-making and improve efficiency. Passionate about leveraging analytics and automation to transform complex datasets into actionable insights for stakeholders.
Develop automated ETL workflows using Python, Selenium, and Pandas to collect, transform, validate, and process multi-source datasets. Create Tableau dashboards and reporting solutions that support operational teams and county stakeholders. Implement data quality, validation, and deduplication processes to improve reporting consistency and reliability. Collaborate with program managers and stakeholders to translate business requirements into scalable analytics solutions. Perform ad hoc analysis and reporting to support operational planning, process improvement, and data-driven decision-making.
Supported IT infrastructure operations through Linux workstation imaging, system deployment, troubleshooting, and hardware/software support.
My work at Qualcomm has provided a 360-degree view of the LIVE streaming production ecosystem. Worked with department crew to setup global LIVE streaming productions. Operated production cameras and provided systems troubleshooting and triage.