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Using Python to visualize various datasets relating to COVID-19 in New York City. Analyses include: plotting rates by age and sex, geographic maps by zip code, and time-series plots with logarithmic axes.
This project analyzes McDonald's menu nutritional data using Python, Pandas, and Matplotlib. It provides insights into menu category distribution, nutritional correlations, and macronutrient balance, offering actionable information for consumers.
A comprehensive collection of security log analysis projects and methodologies for detecting threats, credential abuse, and advanced persistent threats (APTs) in enterprise environments. Features detailed forensic investigations of large-scale Windows Security Event Logs using Python-based data analytics and behavioral pattern recognition.