"The goal is to turn data into information, and information into insight."
— Carly Fiorina


Florida Climate Analysis
Project Description
This project explored over 30 years of climate data in Florida to analyze trends in temperature, precipitation, and storm activity. The goal was to assess how changing weather patterns correlate with economic impacts on sectors like tourism, agriculture, and disaster recovery. Cleaned and merged multiple datasets, followed by visualization and storytelling using Tableau to deliver insights for policy and preparedness.
Skills Showcased:
Data cleaning and merging using Python (Pandas)
Exploratory Data Analysis (EDA) on time-series climate variables
Trend and correlation analysis using visual statistics
Designed and published interactive Tableau dashboards
Integrated multi-source public datasets for unified storytelling
Communicated insights using visual narratives and user-driven filters
Data Source
Key Insights
Rising average annual temperatures and increased storm frequency signal growing climate volatility.
Economic losses from major hurricanes have spiked in recent decades, especially in coastal zones.
Dashboards enabled users to explore seasonal rainfall trends, storm paths, and county-level damage.
Identified patterns between climate change and financial vulnerability in South Florida regions.