wildfire-analysis

An interactive dashboard for analyzing and visualizing wildfire occurrences across Canada (2013–2023). Features dynamic filtering by province and year range, with various data visualizations including maps, charts, and summary statistics.

A comprehensive wildfire analytics project analyzing 1.88M geo-referenced records (1992–2015) using PostgreSQL, SQL, Power BI, and Excel. Demonstrates database design, data cleaning, geospatial analysis, interactive dashboards, and translating complex data into actionable insights for fire prevention and resource allocation.

An end-to-end Python data analytics project monitoring wildfire activities in Australia. Features in-depth exploratory data analysis (EDA) using Matplotlib, Seaborn, and Folium, alongside an interactive web dashboard developed with Dash and Plotly.

Full-stack wildfire risk analytics and time-series forecasting web app built with Python and Streamlit.