Enhanced Keeling's functionality, improving NCL and MATLAB code translation for advanced data retrieval and visualization by 30% through collaboration with a Postdoc
Orchestrated PyTorch's Distributed Data-Parallel to achieve a 10% performance boost in LSTM model processing, enhancing the accuracy and efficiency for more reliable long-term climatic projections
Curated multifaceted data from 100+ years of CSEM2 simulations, encompassing both historical data and future projections producing high-volume climatic simulation outputs
Crafted data processing pipelines using Dask to handle terabytes of raw data, reducing processing time by 60% while extracting crucial weather metrics