KNMI Weather Data Analysis

KNMI Weather Data Analysis

My GitHub Portfolio showcases several Data Science projects where I apply advanced analytics, Machine Learning, and visualization techniques to uncover insights. One highlight is my KNMI weather analysis, where I explored historical climate data to identify trends and anomalies.

This project involved:

• Automated data retrieval from the KNMI web script service
• Data visualization, including interactive maps and timeseries plots
• Machine Learning-based MICE imputation to handle missing precipitation and evaporation data
• Drought assessment using Standardized Precipitation (SPI) and Standardized Precipitation-Evapotranspiration Index (SPEI) scores

Additionally, I shared my findings at KNMI HQ in De Bilt as part of the 2025 KNMI Data Platform API Workshop - highlighting key takeaways and their practical applications.

From predictive modeling to geospatial analysis, my GitHub Portfolio aims to demonstrate a hands-on, results-driven approach to Data Science.

Feel free to explore my GitHub Data Science Portfolio to see how complex datasets can be transformed to insights!