Expert en Data Science Climate Analytics R Special

En quelques mots

Advanced development in R: Interactive Shiny Dashboard, complete web applications, HTML/CSS/JavaScript integration
Data science & advanced statistical analysis applied to climatology
Calculation and interpretation of ETCCDI extreme climate indices (RClimDex, ..., climatol)
Climate trend analysis: Mann-Kendall (classic & modified), linear regression, Sen slope, significance tests with autocorrelation correction
Detection of ruptures and heterogeneities: Pettitt tests, Buishand, SNHT (Standard Normal Homogeneity Test), Hubert segmentation
Cleaning, validation, imputation and homogenization of long climate time series (daily, monthly, annual)
Seasonal, monthly, decadal analysis, anomaly calculation, standardization and normalization
Processing and automation on large volumes of data (CSV, Excel, NetCDF, weather databases)
Professional visualizations and publication-ready: ggplot2, patchwork, gganimate, high resolution
Automated and reproducible report generation: RMarkdown, Quarto, Bookdown, parameterizable PDF/HTML

Ideal for climate research missions, expertise with international organizations (WMO, IPCC, development banks), environmental studies offices or creation of internal tools for monitoring climate change.