$ ls ~/toolkit

$ Languages

• Python
• R
• SQL
• MATLAB

$ Data

• ERA5
• ERA5-Land
• MERRA-2
• NOAA GFS
• IMD
• IBTrACS

$ Formats

• NetCDF
• HDF5
• GRIB/GRIB2
• Zarr
• Parquet

$ Libraries

• pandas
• numpy
• xarray
• dask
• netCDF4
• cfgrib
• scipy
• statsmodels
• tidyverse
• forecast
• Shiny
• Plumber

$ Geospatial

• CDO
• NCO
• GDAL
• ArcGIS
• QGIS

$ ML & stats

• PyTorch
• TensorFlow
• scikit-learn
• XGBoost
• LightGBM
• LSTM
• CNN
• ARIMA
• Kriging
• extreme-value statistics
• forecast verification (RMSE, bias)

$ Visualisation

• Plotly
• Leaflet
• ggplot2
• Power BI
• Windographer

$ Cloud & engineering

• GCP (BigQuery, GCS)
• Google Cloud CI/CD
• Azure
• Docker
• Git
• REST/Swagger
• Postman

$ Weather analysis

• radar and satellite interpretation
• METAR
• BUFKIT soundings

$ Models

• WRF
• HYSPLIT

ran existing configurations and analysed output

$ Spoken languages

• English (professional)
• Hindi (native)
• Odia (fluent)
• French (beginner)