Dynamic professional with a proven track record at Hofstra University, excelling in conflict resolution and community engagement. Proficient in Python and data analysis, I enhanced emergency preparedness through strategic planning and collaboration, ensuring compliance for over 300 employees. Recognized for optimizing software performance and delivering timely feature releases.
Global Economic Health and Demographic Trends: A Comprehensive Analysis, Analyzed large datasets to identify global economic patterns using Python and SQL., Developed visual reports using Tableau, providing actionable insights for economic forecasting. Analysis of NIMS Certification Trends, Conducted a year-over-year analysis of NIMS certifications to assess workforce preparedness., Utilized SQL queries and statistical modeling to track compliance trends and risk factors.
Python, SQL, Java, JavaScript, Tableau, Power BI, Excel, Git, Software Testing, Data Mining, Predictive Modeling, Statistical Analysis, Process Optimization, Database schema design, entity-relationship modeling, normalization, data warehousing