Data Scientist
CurrentDeveloping ETL pipelines for a wide variety of numerical, gridded, and text-based meteorological data sets to make storing and utilizing such data simpler for current and future products.Created a forecast system that leverages Machine Learning to provide 36-hour forecasts of pavement conditions for snow and ice removal clients, so that they can make appropriate decisions regarding treating snow or ice on roads.Quality controlling and segmenting historical meteorological data using clustering algorithms to provide a cohesive historical dataset for staff and clients.