Suvi Varshney is a data science leader with 8 years of experience who currently manages Data Science at American Express after hands-on AI/ML roles at Coalesce and industry-leading insurance teams. She blends deep learning, NLP, computer vision and audio ML—shipping production models like a 96% accurate damage detector for auto claims and a 92% accurate fraud detector with model governance. As a UC Davis MS candidate and graduate researcher she built transformer ASR pipelines and a phoneme-to-sentence language model to evaluate BCI speech intelligibility, and has two publications from that work. Known for translating research into business impact, she has driven automation that cut claim-processing man-hours by 75% and delivered real-time monitoring dashboards that saved organizations tens of thousands of dollars.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of California, Davis
Bachelor of Technology - BTech Mathematics and Computing, Bachelor of Technology - BTech Mathematics and Computing at Delhi Technological University (Formerly DCE)
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