Hengameh leads the design and development of predictive analytics solutions. She works across the data processing pipeline from pre-processing to ML model development, model evaluation, and refinement. Hengameh’s contributions include the development of classification and regression models using both neural networks and statistical methods.
As the planet faces increasing extreme weather events, AI and machine learning give climate experts new opportunities to efficiently analyze and organize data to better inform their work Uncertainty. For me, that one word sums up the challenges facing climate… Read More »AI: Helping climate change experts weather the storm
How to deploy an ML model and use it in your data pipeline as a web service. Operationalizing a model refers to the process of deploying a machine learning model (ML) to be used with a client application such as… Read More »Operationalizing an ML model in the cloud
