Data Science

This post demonstrates a professional approach to preparing a bivariate map using the ggplot2 package in R.

This post demonstrates a professional approach to mapping the cropping area of Pakistan using the ggplot2 package in R.

This post demonstrates how to extract and download crop pixels from the Dynamic World V1 dataset using Google Earth Engine, focusing on efficient data aggregation and visualization techniques for large-scale crop area analysis.

This blog post demonstrates the creation of animated NDVI maps of Pakistan, leveraging remote sensing data and R’s ggplot2 package.

In this blog post, I will show how we can use Google Earth Engine to process and download planetary scale dataset.

In this blog post, I will show how we can use R to make animations of climate data.

In this blog post, I’ll walk my readers through the R code I wrote in one of my Kaggle Notebooks to visualize the trends of different crop yields in most populated countries over time (years).

In this blog post, I’ll share my journey of transitioning from a plant disease expert to a data scientist. Back in 2018, I read an article about Freelancing in The New York Times.