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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.
In-depth Excel-driven exploration of road accident statistics — analyzing severity levels, environmental factors, and temporal patterns through dynamic dashboards, performance metrics, and interactive visuals. Perfect for Excel analytics learners and professionals aiming to enhance data visualization and road safety analysis skills.
Data analysis of South African labour market trends (QLFS Q1 2025) including provincial, gender, and population group disparities with statistical validation.
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.
This project provides a comprehensive set of data visualizations for COVID-19 statistics in New York City. It includes time series analyses, geographic plots, and demographic breakdowns of case rates, death rates, and hospitalization rates.
Complete statistical analysis of cavy lifetime dataset using Python, Pandas, NumPy, Matplotlib, and SciPy to explore, visualize, and infer the impact of bacilli infection on cavy lifetimes 🦫