Durand D'souza is a Senior Data Scientist based in London with nine years of experience applying machine learning and data visualization to social and environmental challenges at Carbon Tracker. He combines deep technical skills in TensorFlow, Keras, gensim, spaCy, R and Python with a flair for interactive D3/javascript visualizations and robust data scraping/processing pipelines. Comfortable turning messy, unstructured data into clear stories, he has a background that spans astrophysics research and data journalism—including an Information is Beautiful Silver award for a data-rich feature. At Carbon Tracker he progressed from junior to senior roles, blending domain expertise in climate and energy with production ML and communication skills that influence policy and public understanding.
9 years of coding experience
5 years of employment as a software developer
MPhys, Astrophysics, 1st, MPhys, Astrophysics, 1st at University of Leeds
Contributions:219 commits, 35 pushes, 2 branches in 9 months
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