As a Registered Land Surveyor transitioning into Geospatial Data Science, I am interested in how data visualization can communicate complex spatial and statistical trends—much like Florence Nightingale did with her Coxcomb plots.
This repository contains my mini-projects at the SCA Academy:
- Florence Nightingale & the Crimean War: Recreating the famous Coxcomb plot to visualize preventable causes of death.
- Telecom Customer Churn: Using data exploration to identify why customers leave service providers.
- 📂 Avocado Price & Type Analysis
- Focus: Machine Learning (Regression & Classification).
- Key Skills: Linear Regression, Time Series, Logistic Regression, PCA.