• Developing new algorithms and software for weather products (e.g., Weather data quality validation, assessing weather station deployments)
• Refactoring and optimizing algorithms for weather products.
• Creating visualizations of weather data for internal use or marketing purposes.
• Implementing Machine Learning methods for improving weather forecasting and
  assessing weather station deployments.
• Combine weather station data from our network with data from other sources (e.g., numerical model, satellite, radar data) to enhance weather forecasts and create visualizations.
• Exploratory data analysis (EDA) on weather data.

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