Nova S is a Senior Data Scientist specializing in machine learning and algorithms with 11 years of experience applying advanced models to fraud/spam detection and medical imaging. Currently at Airbnb after roles at Google and Zoom, she builds production-ready ML systems that bridge research rigor and product impact. Her PhD work at UCLA produced peer-reviewed predictive models for imaging and survival analysis, including neural networks pretrained with deep autoencoders that improved AUC by up to 41% and secured NIH funding. She has a track record of moving models into production—from improving job-matching AUCs in a Chegg internship to operational fraud solutions—using tools like TensorFlow/Keras, Python, R, and AWS. Based in San Francisco, she combines domain depth in medical informatics with practical experience scaling algorithmic solutions for high-volume consumer and enterprise platforms.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Biomedical Engineering, Bachelor of Science - BS Biomedical Engineering at Rensselaer Polytechnic Institute
Contributions:4 PRs, 13 pushes, 3 branches in 3 years 6 months
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