Professional Data Analyst with a strong background in data management, validation, and documentation across academic and financial sectors. Demonstrated proficiency in cleaning, merging, and aggregating large administrative datasets using Python and SQL to meet prescribed file layouts. Skilled in implementing statistical workflows and creating visualizations to communicate complex findings to internal and external stakeholders including department leadership. Maintained exceptional record-keeping habits using Microsoft Office and Google Workspace to support departmental goals. Committed to applying data-driven insights to improve organizational efficiency and support educational policy initiatives.
Professional Data Analyst with a strong background in data management, validation, and documentation across academic and financial sectors. Demonstrated proficiency in cleaning, merging, and aggregating large administrative datasets using Python and SQL to meet prescribed file layouts. Skilled in implementing statistical workflows and creating visualizations to communicate complex findings to internal and external stakeholders including department leadership. Maintained exceptional record-keeping habits using Microsoft Office and Google Workspace to support departmental goals. Committed to applying data-driven insights to improve organizational efficiency and support educational policy initiatives.
• Analyzed 7,000+ customer records using Python and SQL to identify patterns in administrative data. • Built a diagnostic model that achieved a 95% satisfaction rate among internal testers for report accuracy. • Documented data validation methodologies including null checks and duplicate resolution for technical review. • Translated complex findings into actionable memos for diverse stakeholders using Google Docs and Sheets. • Designed visualization components to highlight trends in high-risk segments for state-level policy discussions.