This report explores the consequences of severe storm events in the United States using NOAA’s historical storm database (1950–2011).We focus on identifying which types of events cause the greatest harm to public health and economic stability. Fatalities, injuries and total damage costs are used as key impact metrics. The analysis reveals tornadoes as the primary cause of human casualties.Floods, hurricanes, and tornadoes account for the highest economic damages across states.Graphs and tables provide clear comparisons across event types.Events are ranked by damage scale to support policy and preparedness planning.Simple transformations (e.g., exponent decoding) are applied to ensure accurate cost estimates.Findings underscore the importance of targeted response strategies for high-risk weather events.

SmartInsights is an AI-powered data profiling and reporting tool built in R for fast, automated exploration of structured datasets. This demo showcases how to use the generate_smartinsights() function to analyze a hotel bookings dataset, generate summary statistics, visualize key features, and produce a professional HTML report in seconds. Ideal for data analysts, students, and teams who want quick insights with minimal coding.

PTDLDT CT2

This project is from my Statistical Modeling course at Concordia College, completed during my final semester. It was designed to showcase our ability to perform multilevel analysis and carry out each stage of a data analysis using R. In this version, I’ve omitted some of the initial exploratory steps (such as variable analysis, assumption checks, and detailed coefficient output) to maintain a clearer focus. I chose this project because it centers on environmental data and reflects my commitment to sustainability and holistic understanding of complex phenomena. While the report is geared slightly toward a technical audience, I believe it effectively represents the type of work I’m passionate about and how I communicate professionally through writing.

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