Aakash Varambhia
Aakash Varambhia works as a Data Science Lead at Johnson Matthey, focusing on delivering innovative imaging data science solutions for research and development. He completed his DPhil at the University of Oxford, specializing in using advanced tools for quantitative electron microscopy. His expertise covers analyzing various data types like images, timeseries, and spectra, all aimed at improving materials design processes.
Sessions
Johnson Matthey (JM) leads in sustainable technologies, employing advanced science to address global challenges in energy, chemicals, and automotive sectors. Our cutting-edge research and development (R&D) facilities include state-of-the-art characterization tools, handling diverse datasets like images, timeseries, 3D tomograms, spectra, and digital twins. With the rising demand for data-driven insights, Python has emerged as a vital tool in enhancing decision-making processes. We showcase our utilization of the open-source community to construct our data science research platform, marking a significant step forward in our innovation journey.